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Safety assessment for seawall based on constrained maximum entropy projection pursuit model

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Abstract

The safety of seawalls is crucial. A scientific and effective safety evaluation method for seawalls is an important measure to protect seawall safety. Based on the monitoring information, seepage pressure, tide level, and rainfall were taken as the safety assessment indexes of seawalls. The projection pursuit model was improved by taking the primary and secondary relations of the assessment indexes known in the professional field as constraints. The water cycle algorithm was used to solve the projection vector, and the weights of the safety assessment indexes of the seawalls were calculated using the improved projection pursuit model. The safety assessment method of seawalls was established by Fuzzy Theory. A method where the maximum membership degree principle was replaced by the comprehensive safety grade value was put forward to determine the seawall safety grade. The analysis of examples showed that the seawall safety assessment results of the constrained maximum entropy projection pursuit model conformed to the objective reality, and were more scientific and reasonable than the maximum entropy projection pursuit model and the analytical hierarchy process model.

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References

  • Chen T, Jin YY, Qiu XP, Chen X (2014) A hybrid fuzzy evaluation method for safety assessment of food-waste feed based on entropy and the analytic hierarchy process methods. Expert Syst Appl 41(16):7328–7337

    Article  Google Scholar 

  • Cui HY, Zhao Y, Chen YN, Zhang X, Wang XQ, Lu Q, Jia LM, Wei ZM (2017) Assessment of phytotoxicity grade during composting based on EEM/PARAFAC combined with projection pursuit regression. J Hazard Mater 326:10–17

    Article  Google Scholar 

  • Deihimi A, Zahed BK, Iravani R (2016) An interactive operation management of a micro-grid with multiple distributed generations using multi-objective uniform water cycle algorithm. Energy 106:482–509

    Article  Google Scholar 

  • Eskandar H, Sadollah A, Bahreininejad A, Hamdi M (2012) Water cycle algorithm—a novel metaheuristic optimization method for solving constrained engineering optimization problems. Comput Struct 110:151–166

    Article  Google Scholar 

  • Fang F, Qiao LL, Cao JS, Li Y, Xie WM, Sheng GP, Yu HQ (2016) Quantitative evaluation of A2O and reversed A2O processes for biological municipal wastewater treatment using a projection pursuit method. Sep Purif Technol 166:164–170

    Article  Google Scholar 

  • Farrier DR (1984) Jaynes’ principle and maximum entropy spectral estimation. IEEE Trans Acoust Speech Signal Process 32(6):1176–1183

    Article  Google Scholar 

  • Friedman JH, Tukey JW (1974) A projection pursuit algorithm for exploratory data analysis. IEEE Trans Comput 23(9):881–890

    Article  Google Scholar 

  • Huang M, Liu J (2009) Monitoring and analysis of Shanghai Pudong seawall performance. J Perform Constr Fac 23(6):399–405

    Article  Google Scholar 

  • Huang M, Liu J (2012) Establishment of sea wall seepage pressure multi-point RBF monitoring model. J Shanghai Jiao Tong Univ 46(10):1675–1679 (in Chinese)

    Google Scholar 

  • Huang M, Lu YS, Lan ZG, Liu J (2016) Back analysis of permeability parameters under unsteady seepage of seawall. J Shanghai Jiao Tong Univ 50(3):443–447 (in Chinese)

    Google Scholar 

  • Jiang HY, Wang LZ, Li LL, Guo Z (2014) Safety evaluation of an ancient masonry seawall structure with modified DDA method. Comput Geotech 55:277–289

    Article  Google Scholar 

  • Kystina WP (1998) Dike and revetment-design, maintenance and safety assessment. A.A. Balkema Publisher, Québec

    Google Scholar 

  • Lan ZG, Huang M (2017) Framework and key technologies of seawall prognostic and health management system based on measured information. Bull Soil Water Conserv 37(2):307–313 (in Chinese)

    Google Scholar 

  • Lee TL, Tsai CP, Lin HM, Fang CJ (2009) A combined thermographic analysis-Neural network methodology for eroded caves in a seawall. Ocean Eng 36:1251–1257

    Article  Google Scholar 

  • Li HJ, Li JJ, Kang F (2013) Application of the artificial bee colony algorithm-based projection pursuit method in statistical rock mass stability estimation. Environ Earth Sci 68(8):2337–2345

    Article  Google Scholar 

  • Liu YL, Huang XL, Duan J, Zhang HM (2017) The assessment of traffic accident risk based on grey relational analysis and fuzzy comprehensive evaluation method. Nat Hazards 88(3):1409–1422

    Article  Google Scholar 

  • Pei W, Fu Q, Liu D, Li TX, Cheng K (2016) Assessing agricultural drought vulnerability in the Sanjiang Plain based on an improved projection pursuit model. Nat Hazards 82:683–701

    Article  Google Scholar 

  • Rajesh BG, Choudhury D (2016) Influence of non-breaking wave force on seismic stability of seawall for passive condition. Ocean Eng 144:47–57

    Article  Google Scholar 

  • Saaty TL (1980) The analytic hierarchy process. McGraw Hill, New York

    Google Scholar 

  • Sadollah A, Eskandar H, Bahreininejad A, Kim JH (2014) Water cycle algorithm for solving multi-objective optimization problems. Soft Comput 19:2587–2603

    Article  Google Scholar 

  • Sarvi M, Avanaki IN (2015) An optimized fuzzy logic controller by water cycle algorithm for power management of stand-alone hybrid green power generation. Energ Convers Manag 106:118–126

    Article  Google Scholar 

  • Sun ZL, Huang SJ, Nie H, Jiao J, Huang SH, Zhu LL, Xu D (2015) Risk analysis of seawall overflowed by storm surge during super typhoon. Ocean Eng 107:178–185

    Article  Google Scholar 

  • Tian LG, Jin CC, Ba C (2013) Application of improved fuzzy AHP to safety evaluation of seawall engineering. Eng J Wuhan Univ 46(3):317–320 (in Chinese)

    Google Scholar 

  • Urbina AG, Aoyama A (2017) Measuring the benefit of investing in pipeline safety using fuzzy risk assessment. J Loss Prev Process Ind 45:116–132

    Article  Google Scholar 

  • Wang ZL, Gu CS, Chen H (2003) Discussion on several related problems of the levee’s safety assessment. Prog Geophys 18(3):391–394 (in Chinese)

    Google Scholar 

  • Wang J, Xu SY, Ye MW, Huang J (2011) The MIKE model application to overtopping risk assessment of seawalls and levees in Shanghai. Int J Disast Risk Sci 2(4):32–42

    Article  Google Scholar 

  • Wu DJ (2007) Research on safety monitoring of seawall with fuzzy synthetic evaluation. Dissertation, Shanghai Jiao Tong University (in Chinese)

  • Yin BS, Xu YQ, Ren LC, Yang DZ, Cheng MH (2006) Risk assessment of overtopping dam under waves and surges in coastal areas of the Huanghe (yellow) river delta. Ocenol et Limnol Sin 37(5):457–463 (in Chinese)

    Google Scholar 

  • Zadeh LA (1978) Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst 1(1):3–28

    Article  Google Scholar 

  • Zhao J, Jin JL, Guo QZ, Liu L, Chen YQ, Pan M (2014) Dynamic risk assessment model for flood disaster on a projection pursuit cluster and its application. Stoch Env Res Risk A 28:2175–2183

    Article  Google Scholar 

  • Zhu ZH, Chen ZH, Chen XH, He PY (2016) Approach for evaluating inundation risks in urban drainage systems. Sci Total Environ 553:1–12

    Article  Google Scholar 

Download references

Acknowledgements

This study was supported financially by the Research Fund of the Key Laboratory of Geological Hazards in Three Gorges Reservoir Area (China Three Gorges University) (No. 2015KDZ03), and the Science and Technology Research Project of Anhui Province, China (No. 1604a0802106).

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Correspondence to Ming Huang.

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Lan, Z., Huang, M. Safety assessment for seawall based on constrained maximum entropy projection pursuit model. Nat Hazards 91, 1165–1178 (2018). https://doi.org/10.1007/s11069-018-3172-8

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