Fuzzy evaluation on seismic behavior of reservoir dams during the 2008 Wenchuan earthquake, China

Gao, Hongmei; Wang, Zhihua; Dandan, Jin; Chen, Guoxing; Jing, Liping

doi:10.1016/j.enggeo.2015.07.023

Cited by 12 publications

(3 citation statements)

References 24 publications

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“…Few researchers employed DEA for risk and vulnerability assessment in disaster-prone areas using DEA (Sherly et al, 2015;Huang et al, 2019;Wang et al, 2020). Hongmei et al (2015) used a DEA model to measure the efficiency value of warehouse location combinations. Reilly et al (2016) used DEA to evaluate the restoration of power supply in a post-hurricane disaster scenario.…”

Section: Multi-criteria Decisionmaking Methodsmentioning

confidence: 99%

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Multi-criteria decision-making methods: application in humanitarian operations

Nain¹,

Jain²,

Trivedi³

2023

BIJ

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PurposeThis paper aims to examine and compare extant literature on the application of multi-criteria decision-making (MCDM) techniques in humanitarian operations (HOs) and humanitarian supply chains (HSCs). It identifies the status of existing research in the field and suggests a roadmap for academicians to undertake further research in HOs and HSCs using MCDM techniques.Design/methodology/approachThe paper systematically reviews the research on MCDM applications in HO and HSC domains from 2011 to 2022, as the field gained traction post-2004 Indian Ocean Tsunami phenomena. In the first step, an exhaustive search for journal articles is conducted using 48 keyword searches. To ensure quality, only those articles published in journals featuring in the first quartile of the Scimago Journal Ranking were selected. A total of 103 peer-reviewed articles were selected for the review and then segregated into different categories for analysis.FindingsThe paper highlights insufficient high-quality research in HOs that utilizes MCDM methods. It proposes a roadmap for scholars to enhance the research outcomes by advocating adopting mixed methods. The analysis of various studies revealed a notable absence of contextual reference. A contextual mind map specific to HOs has been developed to assist future research endeavors. This resource can guide researchers in determining the appropriate contextual framework for their studies.Practical implicationsThis paper will help practitioners understand the research carried out in the field. The aspiring researchers will identify the gap in the extant research and work on future research directions.Originality/valueTo the best of the authors’ knowledge, this is the first literature review on applying MCDM in HOs and HSCs. It summarises the current status and proposes future research directions.

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Section: Multi-criteria Decisionmaking Methodsmentioning

confidence: 99%

“…, 2020). Hongmei et al. (2015) used a DEA model to measure the efficiency value of warehouse location combinations.…”

Section: Descriptive Analysismentioning

confidence: 99%

Multi-criteria decision-making methods: application in humanitarian operations

Nain¹,

Jain²,

Trivedi³

2023

BIJ

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“…For strong earthquake loads, Zou [6,7] systematically analyzed the safety problems and analysis methods under strong earthquakes in the process of dam construction and operation. Lin and Gao [8,9] discussed the failure mechanism and seismic performance of dams from the aspects of dam destructive behavior, acceleration response, stress, and deformation during the Wenchuan earthquake. Karalar [10,11] evaluated the influence of strong earthquakes on the nonlinear seismic settlement and shear strain behavior of Oroville dam in the United States based on the finite difference method.…”

Section: Introductionmentioning

confidence: 99%

Dam Safety Evaluation Method after Extreme Load Condition Based on Health Monitoring and Deep Learning

Song

Liu

Yang

2023

Sensors

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The safety operation of dams after extreme load is an important frontier research topic in the field of dam engineering. The dam health monitoring provides a reliable data basis for a safety evaluation after extreme loads. This study proposes a novel data-driven fusion model for a dam safety evaluation after extreme load based on monitoring data derived by sensors. First, the relationship between dam environmental quantity and effect quantity is deeply excavated based on bidirectional long short-term memory (BiLSTM) network, which is a deeply improved LSTM model. Aiming at the parameter optimization problem of BiLSTM model, sparrow search algorithm (SSA), which is an advanced optimization algorithm, is integrated. Second, conducting the constructed SSA-BiLSTM model to estimate the change law of dam effect quantity after the extreme load. Finally, the Mann–Whitney U-test theory is introduced to establish the evaluation criterion of the dam safety state. Project case shows that the multiple quantitative prediction accuracy evaluation indicators of the proposed method are significantly superior to the comparison method, with mean absolute percentage error (MAPE) and mean absolute error (MAE) values decreasing by 30.5% and 27.8%, respectively, on average. The proposed model can accurately diagnose the dam safety state after the extreme load compared with on-site inspection results of the engineering department, which provides a new method for dam safety evaluation.

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An integrated method for evaluating and predicting long-term operation safety of concrete dams considering lag effect

Ren

et al. 2020

Engineering with Computers

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Fuzzy evaluation on seismic behavior of reservoir dams during the 2008 Wenchuan earthquake, China

Cited by 12 publications

References 24 publications

Multi-criteria decision-making methods: application in humanitarian operations

Multi-criteria decision-making methods: application in humanitarian operations

Dam Safety Evaluation Method after Extreme Load Condition Based on Health Monitoring and Deep Learning

An integrated method for evaluating and predicting long-term operation safety of concrete dams considering lag effect

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