Bayesian Updates for an Extreme Value Distribution Model of Bridge Traffic Load Effect Based on SHM Data

Gao, Xin; Duan, Gengxin; Lan, Chunguang

doi:10.3390/su13158631

Cited by 9 publications

(4 citation statements)

References 42 publications

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“…MRLP memberikan perkiraan yang valid jika ambang batas sesuai dan wilayah dari MRLP mendekati garis linier [8].…”

Section: Mean Residual Life Plotunclassified

Analysis Of Fire Risk For Forest And Land In West Kalimantan Using Logistic Regression Method With Generalized Extreme Value Approach

Nugroho,

Oktaviana

2023

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Forests in Indonesia have been reduced by half due to fires. Forest and land fires often occur during the long dry season in places such as the island of Borneo. West Kalimantan is an area passed by the equator which is directly above the Pontianak area. The main effect is to make West Kalimantan a tropical area with high air temperatures so that forest and land fires often occur. This study aims to obtain the results of the probability of land and forest fires in each district in West Kalimantan. The method used is binary logistic regression analysis with response variables in the form of data categories based on spatial data and analysis of extreme values with Generalized Extreme Value (GEV). Spatial analysis uses the help of ARCGIS software in processing raster data (grid cells). The data used is data on maximum temperature and maximum wind speed taken from October 7, 2021 to October 31, 2022 from the official NASA website. The spatial data used in this study is forest and land fire vulnerability data taken from the BNPB website in the form of raster data. The results of logistic regression analysis found that the maximum temperature variable has a negative relationship with the response variable, while the maximum speed of wind variable has a positive relationship with the response variable. The temporal probability of the resulting GEV is getting higher with a longer period of years ahead. The probability of forest and land fires is obtained by multiplying the log probability by the GEV temporal probability. In this study, it was found that the highest chance of forest and land fires occurring in Sanggau Regency was suspected to occur due to an increase in temperature every year.

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“…MRLP memberikan perkiraan yang valid jika ambang batas sesuai dan wilayah dari MRLP mendekati garis linier [8].…”

Section: Mean Residual Life Plotunclassified

Analysis Of Fire Risk For Forest And Land In West Kalimantan Using Logistic Regression Method With Generalized Extreme Value Approach

Nugroho,

Oktaviana

2023

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“…With the continuous acceleration of urbanization and the rapid development of information technology, the application scope of geographic information data is expanding day by day, penetrating into multiple important fields such as urban planning, land resource management, and environmental protection [1] . Decision making and implementation of solutions in these fields are inseparable from the support of real-time and accurate geographic information data.…”

Section: Introductionmentioning

confidence: 99%

Intelligent surveying and geographic information data updating method based on ArcGIS server

Liu

2024

International Conference on Remote Sensing Technology and Survey Mapping (RSTSM 2024)

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“…Thus, early damage detection of bridges has become an important and indispensable part of structural health monitoring (SHM) systems for high-speed railways, and the application of new methods or new materials in the field of SHM has been widely studied [3][4][5][6][7][8]. Extensive research efforts have been devoted to damage detection, and many effective methods have been proposed [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Damage Detection of High-Speed Railway Box Girder Using Train-Induced Dynamic Responses

Wang

Yang

2023

Sustainability

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This paper proposes a damage detection method based on the train-induced responses of high-speed railway box girders. Under the coupling effects of bending and torsion, the traditional damage detection method based on the Euler beam theory cannot be applied. In this research, the box girder section is divided into different components based on the plate element analysis method. The strain responses were preprocessed based on the principal component analysis (PCA) method to remove the influence of train operation variation. The residual error of the autoregressive (AR) model was used as a potential index of damage features. The optimal order of the model was determined based on the Bayesian information criterion (BIC) criterion. Finally, the confidence boundary (CB) of damage features (DF) constituting outliers can be estimated by the Gaussian inverse cumulative distribution function (ICDF). The numerical simulation results show that the proposed method in this paper can effectively identify, locate and quantify the damage, which verifies the accuracy of the proposed method. The proposed method effectively identifies the early damage of all components on the key section by using four strain sensors, and it is helpful for developing effective maintenance strategies for high-speed railway box girders.

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Bayesian Updates for an Extreme Value Distribution Model of Bridge Traffic Load Effect Based on SHM Data

Cited by 9 publications

References 42 publications

Analysis Of Fire Risk For Forest And Land In West Kalimantan Using Logistic Regression Method With Generalized Extreme Value Approach

Analysis Of Fire Risk For Forest And Land In West Kalimantan Using Logistic Regression Method With Generalized Extreme Value Approach

Intelligent surveying and geographic information data updating method based on ArcGIS server

Damage Detection of High-Speed Railway Box Girder Using Train-Induced Dynamic Responses

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