The results of the fuzzy deterioration pattern simulation are finally presented and compared against previous work where stochastic Markov-Chains modeling and heuristic Artificial Neural Networks (ANN's) were both used to model the structural deterioration of rubble-mound revetments. ![]() Considering that the inspection and condition rating are performed for the first time since the date of construction or the date of the last major repair or maintenance, the past structural deterioration behavior is then used to develop the if-then scenarios of the Fuzzy Expert System Deterioration Module (FESDM), whose output is the predicted deterioration pattern over a 30-years horizon. The following step is the establishment of the Inspection and Condition Rating Module (ICRM), which sets the criteria against which the structural condition of the structure is measured upon visual inspection, and provides a condition score for each structure. The AAD also includes information on previous intervention history pertaining to maintenance, repair and upgrading as well as previous major events such as year of construction and dates of major storms. The first step was the establishment of the Asset Attributes Database (AAD), which divides every structure into distinct structural segments, and comprises the design features and environmental data surrounding each structure. This paper tackles the issue of structural deterioration modeling for rubble mound marine revetments using Fuzzy Logic (FL). Limited research efforts have been allocated to the modeling of structural deterioration of coastal protection structures using modern artificial intelligence tools and techniques. ![]() In Thomas Telford, editor, Coastal Structures and Breakwaters, pages 403 – 415.Structural deterioration prediction for coastal protection assets is a key element towards the establishment of a robust decision-making mechanism for asset management. Berm breakwater design - the longshore transport case: a probabilistic approach. American Society of Civil Engineers, September 1987. Baird, and Magoon O.T., editors, Berm Breakwaters: Uncoventional Rubble-Mound Breakwaters, pages 93- 103. Application of computational model on berm breakwater design. Master’s thesis, Delft University of Technology, The Netherlands, June 1995. Probabilistic design of breakwaters: The ennore breakwater project, failure mechanisms of a crested rubble mound breakwater. Baird, and Magoon O.T., editors, Berm Breakwaters: Uncoventional Rubble-Mound Breakwaters, pages 55 – 72. ![]() Reshaping breakwaters, on the stability of roundheads and trunk erosion in oblique waves. Institute of Civil Engineering, London, 1983. The design of armour systems for the protection of rubble mound breakwaters. This process is experimental and the keywords may be updated as the learning algorithm improves. These keywords were added by machine and not by the authors. It will be shown that only a probabilistic approach gives insight into the sensitivity of this failure mechanism. Special attention is given to the longshore transport case. In this paper attention will be focussed on the stability of the outer armour. In the design of a berm breakwater, many limit states have to be checked by the designer: the stability of the armour cross and longshore, the compliance of the subsequent layers with filter rules, the stability of the toe under wave action, the geotechnical stability, overtopping, etc. In the last decade a renewed interest is shown for the berm breakwater concept. Within this model the usefulness of optimal repair intervals will be shown for a berm breakwater. The probability of failure as a function of time is calculated by confronting the diminishing resistance with the loading. ![]() For the modelling of the aging process the serviceability limit state models are applied to the initial resistance of the structure taking account of the uncertainties involved. Due to the unique character of hydraulic engineering structures, empirical failure data are lacking and a fundamental approach is needed. In mechanical engineering the approach of optimal maintenance is mostly based on the empirical failure rate.
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