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    ABS TECHNICAL PAPERS 2003

    Assessment of Corrosion Risks to Aging Ships Using an Experience Database 149

    Proceedings of OMAE 2003

    22nd

    International Conference on Offshore Mechanics and Arctic Engineering

    8-13 JUNE 2003, CANCUN, MEXICO

    OMAE2003-37299

    ASSESSMENT OF CORROSION RISKS TO AGING SHIPS

    USING AN EXPERIENCE DATABASE

    Ge Wang1, John Spencer, Haihong Sun

    American Bureau of Shipping16855 Northchase Drive, Houston, TX, USA, 77060

    email1: [email protected]

    ABSTRACT

    Damages to ships due to corrosion are very likely,

    and the likelihood increases with the aging of ships. Risk

    and reliability approaches are more and more frequently

    applied in design and maintenance planning. These

    advanced approaches require reliable data reflecting the

    structural condition of ships in service. Such data is

    scarce.

    This paper presents a database of corrosion wastage.It is based on over 110,00 thickness measurements

    recently collected from 140 trading tankers. This

    database is larger than most other corrosion databases in

    the public domain. Corrosion wastage exhibits a high

    level of variability. In addition to thickness measurements

    of individual structural members, this database also has

    information on hull girders geometrical properties and

    strength of ships in service. Corrosion wastage has an

    influence on the hull girder strength.

    Statistical interpretations of the database are used to

    represent corrosion wastage in oil tankers. The severity of

    corrosion is ranked by three levels: slight, moderate andsevere levels corresponding respectively to 50, 75 and

    95% cumulative probability on the database.

    The risks of corrosion wastage to aging ships

    structural integrity are assessed using the observations of

    the corrosion wastage database. The investigated risks are

    loss of local members strength, loss of global hull girder

    strength, and shortened inspection intervals.

    The experience database can be used in many

    aspects, such as design requirements for corrosion

    additions and wastage allowance for plate renewal,

    establishment of limits to hull girder strength of FPSOs,

    time variant reliability approach and risk based

    inspection schemes.

    INTRODUCTION

    Figure 1 shows the underdeck area of a 22-year-old

    tanker (ABS 2001). The deck plates and deck

    longitudinals suffered various degrees of corrosion. In

    some locations, the web plate of some deck longitudinals

    was totally wasted away. This caused loss of support of

    deck plates from deck longitudinals. The unsupported

    span of the deck plate increased, with a corresponding

    decrease in buckling strength. In heavy seas, bucklingrepeatedly occurred under the action of the cyclic wave

    loads. Plastic deformation accumulated and eventually

    cracks appeared.

    Statistics reveal that corrosion is the number one

    cause for marine casualties in old ships (Harada et al.

    2001). Damages to ships due to corrosion are very likely,

    and the likelihood increases with the aging of ships.

    The consequences of corrosion wastage can be local

    or minor, but also can be very serious in some

    circumstances. Severe corrosion has resulted in deck

    cracks across almost the entire ship width (ABS 2001),

    and has even resulted in the loss of ships (JMT 1997).Structures deteriorate over time due to corrosion.

    This causes variability in structural properties and

    capability. Traditional engineering and analysis use

    simplified deterministic approaches to account for this

    time-variant random process; in most cases some

    nominal values are predefined for corrosion additions

    (e.g., Wang et al. 2002). A more rational and direct

    approach is to model the uncertainties probabilistically.

    There is a clear trend that engineering analysis and

    design standards are moving toward reliability-based

    formats.

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    ABS TECHNICAL PAPERS 2003

    150 Assessment of Corrosion Risks to Aging Ships Using an Experience Database

    Originally, the structural reliability approach was

    introduced for establishing safety factors. Probabilistic

    presentations of global and local loads have been

    developed, and structural failure modes and limit states

    have been extensively studied. As a result, the reliability

    approach has been refined and applied to some

    engineering problems (Guedes Soares et al. 1989,

    Mansour 1997, Wang et al. 1996, Melchers 1999).

    Recently, there is an increased interest in developingand demonstrating the time variant reliability (TVR)

    approach to explicitly address the uncertainties due to

    structural deterioration (e.g., Guedes Soares et al. 1996,

    Wirsching et al. 1997, Sun & Bai 2001, Ivanov et al.

    2003, Qin and Cui 2002, Paik et al. 2003). The TVR

    approach is more suitable to the assessment of the

    strength of ships in service and new constructions, and

    can also be used in maintenance or inspection planning,

    and development of new designs.

    The success of these state-of-the-art technologies

    depends to a large extent on reliable estimates of

    corrosion wastage of various structural members. Thereare very few databases of corrosion wastage available in

    the literature. The Tanker Structure Co-operative Forum

    guidance (TSCF 1992) is based on thickness

    Figure 1. Heavily corroded under-deck of a 22 year old oil tanker (ABS 2001)

    Table 1. Main details of the corrosion wastage database and comparisons with other database of oil tankers introduced

    in the public domain

    The present database TSCF (1992) Harada et al. (2001) Paik et al. (2003)

    Ship type Single hull oil tankers Single hull tankers Single hull tankers Single hull tankers

    Data sources SafeHull Condition Assessment Owner, class Gauging records Gauging reports

    Vessels 140 52 197 >100

    Gauging reports 157 Not known 346 Not known

    Thick. measurements 110,082 Not known > 250,000 33,820

    Info. Hull strength Yes, 599 sections No No No

    Ship size 168 ~ 401 meters > 150, 000 DWT 100 ~ 400 meters Not known

    Service years 12 ~ 26, 32 years ~ 25 years ~ 23 years 12 ~ 26 years

    Class ABS, LR, NK, DnV, KR ABS, DnV, LR, NK NK KR, ABS

    Ship built Mostly 1970s, some 1980s 1960s ~ 1980s Not known Not known

    Ship measured 1992 2000 Not known Not known Not known

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    ABS TECHNICAL PAPERS 2003

    Assessment of Corrosion Risks to Aging Ships Using an Experience Database 151e

    measurements of 52 oil tankers. Yamamoto and Ikegama

    (1998) introduced a database of 50 bulk carriers. There

    was a probabilistic corrosion rate estimation model

    developed from and calibrated with the measurements of

    44 bulk carriers (Paik et al. 1998), and more than 100 oil

    tankers (Paik et al. 2003). These databases are, however,

    relatively small in size, and some are not representativeof commercial ships of today. Harada et al. (2001)

    collected a database from 197 oil tankers. This database

    has been circulated with a working group of the

    International Association of Classification Societies

    (IACS), and has not been released to the public.

    There is a need to develop a sizable database that

    reflects, as close as possible, the structural conditions of

    ships in service.

    This paper presents a database of corrosion wastage

    of oil tankers. It is aimed to provide a more realistic

    picture of corrosion wastage of oil tankers.

    This newly developed database has been analyzed,and general trends of corrosion wastage, which change

    over the service life, have been studied.

    Discussion is given to some safety issues of tankers

    from the standpoints of both local strength of individual

    structural members and global hull girder strength.

    It is expected that the database will enhance and

    update the knowledge about corrosion wastage in oil

    tankers, and also provide more realistic estimates of

    corrosion for structural members that can form a reliable

    basis for a quantitative assessment of structural integrity

    of ships in service.

    A NEW CORROSION WASTAGE DATABASE

    A new corrosion wastage database was built recently

    at ABS. It is an integral part of the efforts to develop

    reliability based design standards.

    Database particulars

    The database has more than 110,000 corrosion

    wastage measurements of various structural members,

    which are collected from 157 gauging reports of 140

    tankers. Most of the ships are still in service. Some have

    been or will be converted to FPSOs. The ships are classed

    with five major classification societies. The ship length

    ranges from 170 m to 400 m. They were 12 to 33 yearsold when thickness measurements were taken.

    Table 1 summarizes some of the main details of this

    database. Table 1 also includes corrosion databases on oil

    tankers that have been introduced in the literature.

    Obviously, there are only a limited number of databases

    on corrosion wastage. The present database is one of the

    largest of its kind, second only to Harada et al. (2001). It

    provides up-to-date information about corrosion in oil

    tankers.

    The database also includes information about the

    hull girder strength, as this is calculated and used for

    assessing the ships structural adequacy for its intendedservice. This database is the only one that has

    information about hull girder sectional properties for

    ships in service (see Table 1).

    Figures 2 and 3 are ship age and length profiles of

    the sampled ships. These ships are representative of

    modern single hull oil tankers.

    Data sources

    The data comes from the ABS SafeHull Condition

    Assessment Program (CAP). CAP is a service separate

    from and a supplement to classification (Horn et al.1994). The CAP offers an evaluation of ship structure

    Distribution of Vessel Age at the Time of

    Gauging (158 Records)

    0%

    5%

    10%

    15%

    20%

    12

    14

    16

    18

    20

    22

    24

    26

    28

    30

    32

    Vessel Age at the Time of Gauging

    Frequency

    Figure 2. Profile of ship age at the time of thickness

    measurement (157 gauging reports, 140 oil tankers)

    Distribution of Ship Length

    (140 Vessels)

    0%

    10%

    20%

    30%

    40%

    150

    180

    210

    240

    270

    300

    330

    360

    390

    420

    Ship Length (m)

    Frequency

    Figure 3. Profile of ship length (157 gauging reports,

    140 oil tankers)

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    ABS TECHNICAL PAPERS 2003

    152 Assessment of Corrosion Risks to Aging Ships Using an Experience Database

    recognizing the effects of corrosion with respect to

    yielding, buckling and fatigue. Based on extensive

    surveys, the CAP database provides a wealth of

    information regarding the structural condition of ships in

    service.

    The database reflects the condition of single hull oil

    tankers in service. For ships in CAP, plate thicknessmeasurements of heavily wasted structural members are

    recorded and are not excluded from the thickness

    measurement reports. They are recorded as is, and repair

    work, if necessary, is recommended after the ships

    condition is assessed. Traditional gauging reports for

    ships in service as required by classification societies,

    which almost all the available databases are based upon,

    may not include thickness measurements below the

    wastage limits. Thickness measurements obtained as part

    of CAP evaluations may give a more realistic picture of

    the actual corrosion wastage trends. On the other hand,

    the vessels assessed in CAP may be in relatively goodcondition. The ship owner probably believes that his ship

    can be used for service for a few more years.

    Substandard ships, though a small percentage of the fleet,

    may not be found in CAP. In this sense, data gained from

    CAP may not include the worst cases. Nevertheless,

    thickness measurement data from ships in CAP are very

    good records of the condition of ships in service.

    Corrosion wastage

    Wastage due to corrosion is calculated as the

    difference between the as-built thickness and the

    measured residual thickness.

    Thickness measurements are relevant to general

    corrosion, where the plates are assumed to be uniformly

    wasted. Pitting and grooving are generally not fully

    reflected in gauging reports.

    Replaced plates

    As usual with databases based on gauging reports,

    the data may include plates that have been replaced.

    However, such plates occupy only a small percentage of

    the total. They do not have a prominent influence that

    would skew the statistical characteristics of the database.

    During the 3rd or 4th special survey, oil tankers in the

    range of 150,000 to 300,000 deadweight tons may have toreplace up to 380 tons of steel (TSCF 1992). The hull of a

    137,000 deadweight ton tanker weighs about 22,000 tons.

    The steel renewal in the 3rd or 4th special survey

    accounts for, at the maximum, about 1.7% of the total

    steel weight. If it is a VLCC, the maximum percentage of

    replaced steel can be less than 1.0% of the hulls steel

    weight. The replaced steel plates, if there are some,

    possibly occupy a very small percentage of the entire

    population.

    Nevertheless, thickness measurements corresponding

    to probably replaced plates have been removed from the

    database. Plates with very small wastage, say less than

    0.01 mm, are screened out; they are probably plates

    renewed after the ships delivery.

    SOME OBSERVED TRENDS

    The wastage measurements are categorized

    according to location (structural member) and usage

    space. The locations are deck, side, bottom and

    longitudinal bulkheads. Both plates, and web and flanges

    of longitudinals are investigated. In line with

    classification rules for new construction designs, two

    usage spaces are considered, i.e., cargo tanks and ballast

    tanks.

    The database provides a lot of information about the

    trends of corrosion wastage in oil tankers. Table 2 and

    Figures 4 and 5 are snapshots of the database.

    Table 2 summarizes the mean values, standard

    deviations and maximum values of corrosion

    wastage measurements of various structural

    members for 20 years of service.

    Figure 4 shows the wastage measurements for

    deck plates in cargo tanks in millimeters for

    ships of 12 to 32 years old. One diamond mark

    represents one measurement.

    Figure 5 shows the loss of hull girder section

    modulus at the deck over the past year. One

    diamond mark represents one section of a ship.

    Usually, a ship has about three girth belts

    (transverse sections) gauged in one thickness

    measurement survey.

    Corrosion wastage exhibits a high level of variability

    The maximum corrosion wastage is much higher

    than the average. For example, for 20 years old

    ships (Table 2 and Fig. 4), the maximum

    observed wastage in deck plate in cargo tanks is

    8.70 mm, while the average wastage is 1.1 mm.

    Corrosion wastage measurements spread over

    wide ranges. Some structural members exhibit

    standard deviations higher than the averages,e.g., deck plates, bottom shell plates, and bottom

    longitudinal flanges in cargo tanks (Table 2 and

    Fig.4).

    The maximum corrosion wastage seems to

    be higher in cargo tanks than in ballast tanks

    (Table 2).

    The average corrosion wastage does not seem to

    depend on the usage spaces (cargo or ballast

    tank). See Table 2.

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    Assessment of Corrosion Risks to Aging Ships Using an Experience Database 153e

    One factor that may have influenced the data is

    whether or not the space has been coated. Ballast tanks

    generally have a corrosion protection system, whereascargo tanks may not. The presence or absence of a

    coating is not noted in the database.

    With the aging of ships, more steel is wasted.

    The average corrosion wastage exhibits an

    increasing trend with the passage of time (Fig.

    4).

    With the aging of ships, the spread of wastage

    measurements becomes more prominent. The

    standard deviations tend to increase with the

    passage of time.

    Figure 4 shows that corrosion wastage does not always

    increase with the ships age. This observation is not new,

    and has been demonstrated in previous studies. Most oiltankers are scraped at about 22-23 years old and older

    (Harada et al. 2001). This database does not include

    scraped ships, nor do any other databases. Therefore, the

    worst conditions of ships much older than 23 years are

    not covered in the database.

    There are fluctuations in the average values and

    standard deviations of corrosion wastage (Fig. 4). The

    measurements come from a fleet of ships, and do not

    represent a trend of a single plate in a specific ship. The

    variability may be attributed to measurements not being

    taken from a single ship, or at the same location. The

    different maintenance of ships may also contribute.

    Table 2 Corrosion wastage of various structural members at 20 years old (unit: mm)

    Structure Tank Mean value Deviation Maximum 50 percentile 75 percentile 95 percentile

    Cargo 1.096 1.564 8.70 0.60 1.10 3.50Dk pl

    Ballast 1.020 0.771 4.15 0.80 1.40 2.40

    Cargo 0.703 0.636 11.00 0.60 0.90 1.40Dk long web

    Ballast 0.845 0.678 4.00 0.70 1.10 2.20

    Cargo 0.561 0.197 1.20 0.60 0.70 0.90Dk long fl

    Ballast 0.331 0.431 2.00 0.15 0.28 0.95

    Cargo 0.789 1.048 8.20 0.50 0.82 2.00Side shell

    Ballast 0.662 0.504 2.80 0.50 0.90 1.60

    Cargo 0.640 0.437 5.00 0.60 0.83 1.30Side long web

    Ballast 0.611 0.509 4.00 0.50 0.80 1.60

    Cargo 0.543 0.353 2.30 0.50 0.70 1.20Side long fl

    Ballast 0.551 0.500 4.50 0.50 0.70 1.43

    Cargo 1.678 1.795 10.45 1.00 2.16 5.60Btm shell

    Ballast 1.099 0.984 4.80 0.70 1.50 3.56

    Cargo 0.547 0.481 3.10 0.42 0.70 1.30Btm long web

    Ballast 0.440 0.332 1.40 0.30 0.60 1.15

    Cargo 1.014 1.841 11.00 0.60 1.00 1.90Btm long fl

    Ballast 1.138 2.118 10.55 0.50 1.00 2.73

    Btw cargo 0.704 0.623 7.75 0.60 0.95 1.50Long bhd pl

    Others 0.701 0.564 3.65 0.60 0.90 1.10

    Cargo 0.589 0.426 3.45 0.50 0.75 1.40Bhd long web

    Ballast - - - - - -

    Cargo 0.683 0.583 8.60 0.60 0.85 1.30Bhd long fl

    Ballast - - - - - -

    Abbreviations: btw between, bhd bulkhead, dk deck, fl flange, long longitudinal, pl plate

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    154 Assessment of Corrosion Risks to Aging Ships Using an Experience Database

    Corrosion wastage has an influence on the hull

    girder strength

    The information about the hull girder sectional

    properties is extracted from the calculation results of the

    ABS SafeHull Condition Assessment program. Ships in

    CAP are evaluated for their local and global strength.

    Figure 5 shows the reduction of section modulus tothe deck as a function of the vessel age. The mean values,

    75 and 95 percentile curves are also shown.

    The maximum SM reduction is close to 16% of the

    as-built condition, which is for ships about 20 years old.

    This may be the minimum strength that the present

    design standards expect of a tanker.

    The majority of ship sections, say at 95%

    probability for a given age, have a maximum

    reduction of about 10%. This is in line with the

    IACS UR S7 requirement that ships in service

    be at least 90% of the section modulus required

    for new construction. The average SM reduction increases with ships

    age. The lines of 75 and 95% percentile also

    increase with ships age.

    The drop at 24 years old is because most tankers are

    scraped at 22 to 23 years, and the corrosion wastage

    database does not include scraped ships. As expected, as

    ships become older, the hull girder section modulus

    reduces further.

    SLIGHT, MODERATE AND SEVERE LEVELS OF

    CORROSION WASTAGE

    Because of the shown high variability, it appears that

    the mean values and standard deviations are not

    sufficient for presenting corrosion wastage. Statistical

    interpretations of a large volume of records, such as the

    present database, give more information, and should be

    used to provide a more realistic picture of corrosion

    wastage in commercial ships.

    Despite continuous efforts on corrosion protection,

    the mechanisms of corrosion in tankers are still not fully

    understood. The inherent complexity casts questions

    about the attempts to develop physical models for

    predicting corrosion wastage, because the physical

    models (e.g., Melchers 2001, Gardiner and Melchers2001) are usually limited to some well-defined

    conditions, while it is recognized that there are a vast

    variety of possible situations and causal factors.

    There is a need to develop a more reliable, yet easy to

    use, scheme to quantitatively describe corrosion wastage

    in commercial ships.

    Cumulative probability

    One way to present this highly variable problem is to

    assign cumulative probability values, and derive

    corrosion wastage from the database accordingly. The

    values of corrosion wastage as thus determined wouldmeasure the extent of structural deterioration in a

    probabilistic manner.

    Table 2 includes values of corrosion wastage

    corresponding to 50, 75 and 95% cumulative probability

    at 20 years.

    Deck Plates in Cargo Tanks

    0.0

    1.0

    2.0

    3.0

    4.0

    5.0

    6.0

    7.0

    8.0

    9.0

    10.0

    10 15 20 25 30Age (Year)

    CorrosionWastage(mm)

    Measured

    Average

    95%

    75%

    50%

    Figure 4. Corrosion wastage of deck plate in cargo

    tanks (4665 thickness readings, 157 gauging reports,

    140 oil tankers)

    Loss of Section Modulus to Deck

    0%

    5%

    10%

    15%

    20%

    10 15 20 25

    Age (years)

    LossofSM(%as-built)

    section

    average95%75%

    Figure 5. Loss of hull girder section modulus to deck

    over time (599 sections)

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    Assessment of Corrosion Risks to Aging Ships Using an Experience Database 155e

    Figure 4 also includes wastage of deck plates in

    cargo tanks for 50, 75 and 95% cumulative probability

    values. The lines of 50, 75 and 95% percentile

    demonstrate an increasing trend over time. They fluctuate

    also because of the sampling, etc.

    For deck plates in cargo tanks after 20 years of

    service, a 1.10 mm corrosion wastage corresponds to a

    75% cumulative probability. This means that the

    cumulative probability of wastage measurements lessthan 1.10 mm is 75%, or, the wastage measurements

    below 1.10 mm occupies 75% of all deck plate

    measurements taken at 20 years.

    Slight, moderate and severe levels of corrosion

    It seems reasonable to categorize the corrosion

    wastage based on the cumulative probability as follows:

    Slight corresponds to a 50% percentile.

    Moderate corresponds to a 75% percentile.

    Severe corresponds to a 95% percentile.

    The corrosion wastage approximately doubleswhen the cumulative probability is changed

    from 50% to 75%, and roughly triples at 95%.

    Most of the structural members have about 0.5

    mm wastage for a 50% probability,

    approximately 1.0 mm for a 75% probability,

    and roughly 1.5 mm for a 95% probability.

    Exceptions are deck plates and bottom shell

    plates, which have much higher corrosion

    wastage than other structural members.

    This ranking, summarized in Table 3, provides a

    convenient and practical vehicle for presenting a

    highly variable problem

    CORROSION RISK TO AGING SHIPS

    Corrosion causes change in the thickness of

    structures. With the aging of a ship, more and more steel

    is wasted away, increasing the risks to the ships safety.

    The majority of marine casualties involving ships older

    than about 22 years is found to be due to corrosion

    wastage.

    Two sample ships will be used for following

    discussions on some aspects of corrosion risks to aging

    ships. Their details are listed in Table 4.

    The differences in corrosion wastage between single

    hull tankers and double hull tankers are not considered,

    though such differences are recognized.

    Table 3. Slight, moderate and severe corrosion levels

    based on the cumulative probability of corrosion wastage

    in the database

    Levels Slight Moderate Severe

    Cumulative probability 50% 75% 95%

    Table 4. Particulars of a single hull and a

    double hull tanker

    Ship SHT DHT

    Ship type Single hull Double hull

    Construction Conversion to FPSO New build

    Length (m) 346.0 315.82

    Breadth (m) 60.0 58.0

    Depth (m) 28.32 31.0

    Ship built 1970 2001

    Section modulus 103.2% required 103.6% required

    Deck plate (mm) 24.0 19.0

    Material HT36 HT32

    Long. Sp. (mm) 966 913

    Table 5. Buckling strength of deck plates for

    different levels of corrosion wastage

    Ship Corrosion Thick (mm) Buckling/yield

    As-built 24.0 0.832

    Slight 23.4 0.824

    Moderate 22.9 0.816

    SHT

    Severe 20.5 0.770

    As-built 19.0 0.788

    Slight 18.4 0.774

    Moderate 17.9 0.761

    DHT

    Severe 15.5 0.677

    Table 6. Hull girder section strength for

    different levels of corrosion wastage

    Ship SHT DHT

    As-built 100.0% 100.0%

    Slight 97.0% 96.7%

    Moderate 94.5% 94.0%

    Severe 88.5% 87.3%

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    156 Assessment of Corrosion Risks to Aging Ships Using an Experience Database

    Corrosion causes loss of strength of individual

    structural members.

    Some recent oil tanker incidents took place when

    ships were loaded in a sagging condition. Deck plates

    were under compression, and buckling and ultimate

    strength were reduced due to wastage, which led to

    catastrophic failure (ABS 2001).Table 5 shows the loss of buckling strength of deck

    plates assuming that they are 20 years old and have

    different levels of corrosion wastage. The plates are

    compressed at the shorter edges from longitudinal

    bending of the hull girder. The slight, moderate and

    severe corrosion levels, corresponding to the 50, 75 and

    95% percentiles, are based on Table 2 (for ships 20 years

    old). They may be regarded as the results of different

    maintenance practices, though other factors such as

    coating condition may also play a role.

    In the case of severe corrosion, the buckling strength

    of deck plate is reduced by about 7% for the single hulltanker (SHT in Table 4), and by 14% for the double hull

    tanker (DHT). Combined with the reduced hull girder

    strength, the deck plates may buckle under heavy seas.

    Corrosion causes loss of hull girder strength.

    Hull girder section modulus is a well-accepted

    parameter measuring the longitudinal bending strength of

    ships. This is perhaps the single most important design

    parameter describing hull girder strength. Hull girder

    section modulus to the deck often determines the bending

    strength of the entire hull girder.

    Table 6 shows the loss of hull girder section modulus

    to deck as a result of different levels of corrosion wastage.

    When every structural member is severely corroded, the

    single hull tanker (SHT) has a 11.5% reduction in hull

    girder strength, and the double hull tanker (DHT) has a

    12.3% reduction.

    It is assumed that every member at the same location

    (e.g., every strake at deck) has the same level of

    corrosion. This assumption may not be realistic, but is

    used here for convenience and demonstration purposes.

    Figure 5 is a realistic picture of hull girder strength of

    corroded ships.

    Severe corrosion requires more frequent inspectionor maintenance.

    Figure 6 is the estimated time-dependent annual

    reliability index of a stiffened panel. Details of the

    structural dimensions are in Table 7. This panel is at the

    bottom of a cargo hold of a single hull tanker 232 meters

    in length. The three corrosion levels specified in Tables 3

    and 2 are assumed. The corresponding corrosion rates

    obtained from Table 2 are assumed to remain constant

    beyond 20 years old. Discussions on corrosion rates are

    detailed in Wang et al. (2003).

    This bottom panel is acted upon by in-plane

    compression due to longitudinal bending and lateralloads due to water pressure. The ultimate strength of the

    panel is calculated and compared with the external loads.

    It is assumed that plates are replaced at special surveys

    when failing the requirements of classification societies.

    The spikes in Fig. 6 reflect the effects of plate renewal.

    Details of this time-variant reliability assessment can be

    found in Sun & Bai (2001) and Sun & Guedes Soares(2003).

    3.0

    3.1

    3.2

    3.3

    0 5 10 15 20 25 30 35 40

    Slight

    Moderate

    Severe

    Age (Years )

    AnnualReliabilityInd

    ex

    Figure 6. Annual reliability index of a stiffened panel at

    a tankers bottom for different corrosion levels

    2.1

    2.2

    2.3

    2.4

    2.5

    2.6

    0 5 10 15 20 25 30 35 40

    Slight

    Moderate

    Severe

    Age (Years)

    AnnualR

    eliabilityIndex

    Figure 7. Annual reliability index of a stiffened panel at

    a tankers deck for different corrosion levels

    Table 7. Dimension of analyzed stiffened panels (mm)

    Plate Web Flange

    b t hw tw bf tf

    Fig. 6 952 25.0 350 30.0 0.0 0.0

    Fig. 7 950 28.0 595 14.0 180 25.0

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    The renewal criteria in ABS Steel Vessel Rules were

    used. Plate components that are wasted by 20% were

    assumed to be renewed.

    If corrosion remains slight, inspections at five-year

    intervals will be sufficient, and no plate renewals are

    needed for more than 30 years.

    When experiencing moderate level of corrosion,inspections at five-year intervals seem sufficient for

    maintaining the reliability index at reasonable level,

    though plate renewals are expected after 30 years in

    service.

    When experiencing severe level of corrosion,

    inspections at five-year intervals can not prevent the

    reliability index from becoming too low. The curve of the

    reliability index declines quickly. Within 5 years, the

    reliability index decreases from 3.28 to 3.12, and plate

    renewals are necessary at every special survey.

    In order to maintain enough margin when severe

    corrosion is anticipated, inspections should be conductedat intervals shorter than 5 years.

    Similar conclusions can be drawn from the analyses

    on a deck panel (Fig. 7) in the cargo hold and on the hull

    girder (Fig. 8) of the same tanker. Details of structural

    dimensions are also listed in Table 7.

    APPLICATIONS OF THE DATABASE

    The database can be used in some other applications,

    in addition to those described in the previous section.

    A sizable database is the key to the development of

    corrosion wastage allowance in design standards.

    Classification Societies have set safety standards

    requiring that structural scantlings of ships be designed

    with a certain allowance for corrosion wastage. This

    allowance is often referred to as corrosion addition

    (TSCF 1992). Ships in service are periodically surveyed

    and inspected. While deemed necessary according to

    defined criteria, i.e., the wastage allowances (TSCF

    1992), wasted plates are recommended to be replaced.

    To a large extent, the relevant requirements for

    corrosion addition and wastage allowance were

    empirically derived from experience. One of the key

    issues is that there is very limited data, and a quantitative

    assessment is nearly impossible.The corrosion wastage database in this paper has

    extensive data, which makes it possible to quantitatively

    evaluate corrosion in oil tankers.

    A more refined approach for developing standards

    regarding corrosion wastage should be based on thickness

    measurement data, and use probabilistic interpretations of

    the data. The approach includes: constructing a database

    of corrosion wastage measurements, properly assigning

    the level of confidence for these records, and obtaining

    the corresponding values from the experience database.

    For structural design purposes, corrosion additions

    may be based on a moderate corrosion level, at about the75% percentile. For renewal criteria, corrosion wastage

    allowance may be based on a severe corrosion level, at

    approximately the 95% percentile. This study is ongoing

    and will be reported in a future paper.

    The experience gained in trading tanker designs

    provides useful information for establishing limits to

    strength of FPSOs.

    Because of the limited experience of designing and

    operating FPSOs, experience gained from trading tankersis often considered.

    FPSOs are generally designed based on site-specific

    environments. It is necessary to introduce limits to keep

    design parameters from going too low. These limits

    reflect successful experience, not to inadvertently create a

    re-ordering of the dominant structural failure modes, and

    to avoid the introduction of new controlling limit states

    (ABS 2000).

    It has been recognized that limits to the minimum

    allowable hull girder strength should be established for

    FPSOs to take into account the inevitable corrosion risks.

    Oil tankers have exhibited possible strength reduction ofabout 10 to 16%, see Figure 5. The same level of strength

    reduction may also need to be taken into account at the

    design stage for FPSOs.

    The database can be incorporated into a time

    variant reliability approach.

    One of main advantages in structural reliability

    analysis is the recognition of the inherent uncertain

    nature of various random variables. There is a need to

    estimate the reliability of a structure over its lifetime to

    take account of inspection and repairs.

    Time variant reliability explicitly addresses the

    effects of corrosion wastage on the structural integrity of

    ships. This is a more refined reliability approach. One of

    2.0

    2.2

    2.4

    2.6

    2.8

    3.0

    0 5 10 15 20 25 30 35 40

    Slight

    Moderate

    Severe

    Age (Years)

    AnnualReliabilityInde

    x

    Figure 8. Annual reliability index of the hull girder

    strength of an oil tanker for different corrosion levels

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    the keys to the successful application of the time variant

    reliability approach is the prediction of corrosion wastage

    of structures over time.

    In addition to Figs. 6 and 7, Figure 8 illustrates an

    application of the time variant reliability approach to the

    hull girder strength of a single hull tanker 232 meters in

    length. Estimation of corrosion rates is detailed in aseparate paper (Wang et al. 2003). Plate renewals are

    assumed to be conducted at special surveys when the

    wastage exceeds the limits specified by classification

    societies. The ultimate strength of the hull girder is

    calculated using a program based on the Smiths method

    (Sun and Bai 2001). Hull girder failure is defined as the

    total bending moment exceeding the maximum hull

    girder bending capacity, both of which are expressed in

    probabilistic terms.

    The database can be incorporated into a risk based

    inspection planning scheme.

    One of the major objectives of inspections is to detect

    defects of any kind, and remedy the situation before the

    defect develops into an unwanted event, for example, loss

    of containment or failure of structures.

    Inspections can possibly be conducted in a smarter

    way if the likely situations can be predicted in advance,

    and the associated risks can be properly assessed.

    Corrosion wastage is the number one causes for marine

    casualties in old ships. Predictions of corrosion wastage

    over a ships life are very important.

    Risk is often defined as the product of failure

    consequence and probability of failure. According to the

    failure consequence and failure type, the lower limit of

    safety level of a component or structural system can be

    defined in order to keep the component or structural

    system free from failure. The likelihood of failure can be

    determined by statistical studies, analytical solutions, or

    both. The database can provide the foundation to evaluate

    the risk due to corrosion damage and help to determine

    inspection planning.

    CONCLUSIONS

    This paper presented a database of corrosion wastagethat contains more than 110,000 wastage measurements

    collected from 140 oil tankers. This database also has

    information about the hull girder strength of corroded

    ships.

    The following conclusions are reached:

    Corrosion wastage exhibits high variability.

    Corrosion wastage exhibits an increasing trend

    with the passage of time.

    Corrosion wastage has an influence on the hull

    girder strength.

    Based on the cumulative probability of measurementsin the database, corrosion wastage may be ranked in three

    levels, slight, moderate and severe. This ranking scheme

    provides a convenient vehicle to represent a highly

    variable problem.

    The risks of corrosion wastage to aging ships

    structural integrity are discussed. The investigated risks

    are loss of local members strength, loss of global hull

    girder strength, and shortened inspection intervals.

    The experience database can be used to develop (1)design requirements for corrosion additions and wastage

    allowance for oil tankers, (2) design limits to the hull

    girder strength of FPSOs, (3) a time variant reliability

    approach, and (4) risk based inspection schemes.

    ACKNOWLEDGMENTS

    The authors appreciate very much the contributions

    of Yongjun Chen, Tarek Elsayed and Sara Irwin in

    building up the database. The authors wish to thank

    many colleagues for their valuable comments and

    reviews, especially those from J. Card, D. Diettrich, L.Ivanov, J. Baxter, Y. Shin, P. Rynn and K. Tamura. The

    authors are indebted to Jo Feuerbacher for editing the

    manuscript.

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