Research On Dynamic And Fuzzy Evaluation Of Seawall Safety Monitoring Under Complex Conditions

With the continuous development of seawall construction management, works onseawall monitoring and its consolidated operating status evaluation have been graduallyconcerned and valued, which is an important means to protect seawall operation andhelp managers to master seawall operating status. If the evaluation results reflectseawall potentially dangerous information, we can analyze the causes and takeprotective measures to prevent accidents based on the situation.This paper used seawall monitoring information during its operation,and combinedwith the theory of fuzzy comprehensive evaluation to evaluate seawall consolidatedoperating status. Selecting the evaluation factors based on the situation of seawall actualmonitoring project and distinguishing its safety and abnormalities based on the variationand characteristics of monitoring data. Combined safety evaluation with abnormalitiesevaluation results to reflect seawall consolidated operating status. Besides, consideringthe circumstances that seawall state always changes over time, this paper carried out thedynamic and fuzzy evaluation on seawall based on gradually adding new information tomeasured data of the factors by using the method of consolidated operating statusevaluation.In the safety evaluation, this paper used different ways to divide safety level inconnection with different characteristics of the indicators. Comparing and usingdifferent membership distribution functions to calculate factor osmosis and tidal safetymembership grade, utilizing the theory of information difference entropy to analyze itscalculation results to select a more appropriate one. Besides, this paper calculatedrainfall safety membership grade by fuzzy statistics. In the abnormalities evaluation,this paper classified abnormalities level of osmosis and tidal by using the probabilitytheory and integrating the confidence level, and at the mean time, this paper calculatedthe membership grate by using membership functions which were selected in safety.Given the advantages and disadvantages of the subjective weight and objectiveweight, combined weight reflects its superiority. This paper selected AHP withextensive application from subjective weight assignment method and optimaledcomprehensive evaluation model from objective weight assignment method, and thencombined this two weights together to get the combined weight, which was used forseawall safety and abnormalities evaluation. The evaluating processes mentioned above are all obtained through cases whichbased on the monitoring data of Pudong seawall operation period, which is combinedwith harmonic quantity regression model to conduct seawall dynamic and fuzzyevaluation. The analysis indicated that the evaluating model was reasonable and themethods were applicable. The case results can objectively reflect the consolidatedoperating status. Meanwhile, the seawall dynamic evaluation process and resultsreflected the trends of seawall consolidated operating status, which made the evaluationresults more effective, reasonable and timely. These evaluating methods providedefficient tools for the data analysis of future seawall monitoring and seawallconsolidated operation assurance.