☆ 4.7 Article

Enhanced safety prediction of vault settlement in urban tunnels using the pair-copula and Bayesian network

APPLIED SOFT COMPUTING (2023)

Related references

Note: Only part of the references are listed.

Article Engineering, Chemical

Effects of the length and pressure relief conditions on propagation characteristics of natural gas explosion in utility tunnels

Yimeng Zhao et al.

Summary: As urbanization progresses, the construction of utility tunnels brings convenience to people's lives but also introduces new potential hazards, particularly concerning gas explosions in natural gas compartments. This study establishes an experimental apparatus to model natural gas explosions in utility tunnels, investigating the impact of gas compartment length and pressure relief conditions on flame behaviors and studying parameters related to explosion severity comprehensively. The findings show that gas compartment ancillary facilities may influence explosion characteristics, emphasizing the importance of proper pressure relief design for safe management of utility tunnels.

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2022)

Add to Collection

Article Engineering, Mechanical

A novel constrained dense convolutional autoencoder and DNN-based semi-supervised method for shield machine tunnel geological formation recognition

Honggan Yu et al.

Summary: A novel constrained dense convolutional autoencoder and DNN-based method for geological formation recognition in tunnel faces is proposed, showing superior performance compared to supervised soft methods. The method outperforms other approaches in terms of classification accuracy in two different tunnels, highlighting its significantly better generalizability.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Expertise-Structure and Risk-Appetite-Integrated Two-Tiered Collective Opinion Generation Framework for Large-Scale Group Decision Making

Zhen-Song Chen et al.

Summary: The generation of collective preference assessments is critical in large-scale group decision making (LSGDM) to derive accurate and reliable alternative rankings. The traditional framework neglects the expertise and individual opinions, leading to unreliable decision outcomes. This study proposes a two-tiered collective opinion generation framework that integrates expertise structure and risk appetite, addressing this concern effectively.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2022)

Add to Collection

Article Construction & Building Technology

COVID-19 effects on property markets: The pandemic decreases the implicit price of metro accessibility

Linchuan Yang et al.

Summary: Based on an analysis of property transaction data in Chengdu, this study finds that the implicit price of metro accessibility decreases during COVID-19, indicating a decline in the role of the metro and a smaller price gap between proximate and distant properties. However, COVID-19 does not have a negative impact on property prices in Chengdu, and the decrease in metro access premiums may be temporary.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2022)

Add to Collection

Article Construction & Building Technology

Prediction of the durability of high-performance concrete using an integrated RF-LSSVM model

Yang Liu et al.

Summary: A hybrid intelligent prediction model using random forest and least squares support vector machine algorithms is proposed in this study to quickly and accurately predict the resistance of high-performance concrete to chloride penetration. The model effectively screens important indicators and achieves high-precision predictions, demonstrating good prediction performance.

CONSTRUCTION AND BUILDING MATERIALS (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Estimating long-term impacts of tunnel infrastructure development on urban sustainability using granular computing

Limao Zhang et al.

Summary: The study proposes a novel framework that integrates System Dynamics and Granular Computing to assess the long-term impacts of metro tunnel infrastructure development on urban sustainability. Through comprehensive methods and modeling, it is found that the economic system has better performance in contributing to urban sustainability.

APPLIED SOFT COMPUTING (2021)

Add to Collection

Article Engineering, Civil

RISK PREDICTION AND DIAGNOSIS OF WATER SEEPAGE IN OPERATIONAL SHIELD TUNNELS BASED ON RANDOM FOREST

Yang Liu et al.

Summary: This paper introduces an evaluation index system for water seepage grades and demonstrates key factors affecting water seepage during tunnel operation through a case study. Prediction of water seepage using a random forest model shows high accuracy compared to traditional machine learning methods.

JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT (2021)

Add to Collection

Article Engineering, Industrial

Multi-objective optimization for limiting tunnel-induced damages considering uncertainties

Limao Zhang et al.

Summary: This paper proposes a hybrid approach integrating ensemble learning and genetic algorithm for optimizing limit support pressure and ground surface deformation during tunnel excavation, considering uncertainties from geological conditions and meta-models. The method achieves an improved design by conducting multi-objective optimization and selecting the best solution based on the shortest distance from the ideal point.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)

Add to Collection

Article Engineering, Industrial

Quantitative risk analysis of offshore well blowout using bayesian network

Bangtang Yin et al.

Summary: The study applied Bayesian networks for quantitative risk analysis on offshore blowouts, identifying key risk factors such as shallow gas, abnormal high pressure, and BOP failure. The research provided greater value by considering the complex characteristics of geological conditions, drilling technologies, and common cause failures in surface and subsea BOP systems.

SAFETY SCIENCE (2021)

Add to Collection

Article Construction & Building Technology

Expertise-based bid evaluation for construction-contractor selection with generalized comparative linguistic ELECTRE III

Zhen-Song Chen et al.

Summary: The paper develops a novel ELECTRE III-based MCGDM approach using generalized comparative linguistic expressions to evaluate bidder performance. It transforms GCLEs into HFLTSs to facilitate the qualitative construction of individual expertise and introduces a consensus-reaching process to promote decisions agreed upon by experts. An integrated subjective-objective approach is proposed to calculate criterion weights and implement an ELECTRE III-based method to handle uncertainties in alternative-criterion decision appraisals when evaluating bids.

AUTOMATION IN CONSTRUCTION (2021)

Add to Collection

Article Green & Sustainable Science & Technology

Multiobjective optimization of building energy consumption based on BIM-DB and LSSVM-NSGA-II *

Bin Chen et al.

Summary: The study proposed a framework combining Building Information Modeling with LSSVM and NSGA-II to analyze the impact of building envelope parameters on energy consumption. By optimizing the building envelope design parameters, the energy consumption efficiency and thermal comfort of the building were significantly improved.

JOURNAL OF CLEANER PRODUCTION (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Sustainable building material selection: An integrated multi-criteria large group decision making framework

Zhen-Song Chen et al.

Summary: The rapid urbanisation in the past decades has led to the consumption of huge amounts of energy and resources, causing environmental deterioration and impacting ecosystems and human health. To address this issue, this paper proposes an integrated multi-criteria large-group decision-making framework for sustainable building material selection. By using Improved Basic Uncertain Linguistic Information and Quality Function Deployment-based methods, the framework aims to promote sustainable performance in the building sector amid uncertain contexts.

APPLIED SOFT COMPUTING (2021)

Add to Collection

Article Construction & Building Technology

Function mechanism and analytical method of a double layer pre-support system for tunnel underneath passing a large-scale underground pipe gallery in water-rich sandy strata: A case study

Chenyang Zhao et al.

Summary: This study proposes a double layer pre-support system (DLPS) to address the deformation control of underground pipe galleries during tunnel construction, which consists of pipe shed and horizontal jet grouting piles, with mechanisms explored in terms of passive protection and active reinforcement. The deformation transferring path and failure modes of the DLPS were analyzed, and a reliable mechanical model and analytical method were established based on beam resting on elastic foundation theory. Through multiple factor analysis, the influence of typical calculating parameters on the deformation characteristics of the DLPS was determined, providing design suggestions for future similar practical engineering projects.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2021)

Add to Collection

Article Engineering, Geological

Semianalytical Analysis of Overexcavation and Critical Support Pressure for Support Design in TBM Tunneling through Squeezing Rock Condition

Lan Cui et al.

Summary: This paper focuses on preventing support damage for TBMs in squeezing rock conditions through quantitative analysis of overexcavation and required support pressure. A method to guide support design is proposed, and its application is demonstrated through tunnel cases and appropriate design measures taken through the proposed method in case histories encountering support failures.

INTERNATIONAL JOURNAL OF GEOMECHANICS (2021)

Add to Collection

Article Environmental Studies

Enhancing public building energy efficiency using the response surface method: An optimal design approach

Yang Liu et al.

Summary: This paper focuses on the energy consumed during the building operation period and aims to reduce total energy consumption by optimizing relevant design parameters. A building energy consumption model is established based on the West Twelfth Teaching Building of Huazhong University of Science & Technology, and ten factors affecting building energy consumption are analyzed from the perspective of energy conservation. Six factors with the most potential for energy savings are identified through partial factorial design tests.

ENVIRONMENTAL IMPACT ASSESSMENT REVIEW (2021)

Add to Collection

Article Biochemical Research Methods

Gaussian mixture copulas for high-dimensional clustering and dependency-based subtyping

Siva Rajesh Kasa et al.

BIOINFORMATICS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

A novel learning cloud Bayesian network for risk measurement

Chen Chen et al.

APPLIED SOFT COMPUTING (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Pearson correlation coefficient of current derivatives based pilot protection scheme for long-distance LCC-HVDC transmission lines

Yunke Zhang et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Theoretical prediction model for deformations caused by construction of new tunnels undercrossing existing tunnels based on the equivalent layered method

Zhong Zhou et al.

COMPUTERS AND GEOTECHNICS (2020)

Add to Collection

Article Construction & Building Technology

Place-varying impacts of urban rail transit on property prices in Shenzhen, China: Insights for value capture

Linchuan Yang et al.

SUSTAINABLE CITIES AND SOCIETY (2020)

Add to Collection

Article Construction & Building Technology

A risk assessment model of a sewer pipeline in an underground utility tunnel based on a Bayesian network

Rui Zhou et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2020)

Add to Collection

Article Engineering, Electrical & Electronic

LightGBM-based model for metro passenger volume forecasting

Youyang Zhang et al.

IET INTELLIGENT TRANSPORT SYSTEMS (2020)

Add to Collection

Article Green & Sustainable Science & Technology

Energy consumption prediction and diagnosis of public buildings based on support vector machine learning: A case study in China

Yang Liu et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Add to Collection

Article Engineering, Civil

Copula-based stochastic uncertainty analysis of satellite precipitation products

Ehsan Sharifi et al.

JOURNAL OF HYDROLOGY (2019)

Add to Collection

Article Engineering, Environmental

Copula-based Bayesian network model for process system risk assessment

Chuanqi Guo et al.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2019)

Add to Collection

Article Agronomy

Copula-based agricultural drought risk of rainfed cropping systems

Andreia F. S. Ribeiro et al.

AGRICULTURAL WATER MANAGEMENT (2019)

Add to Collection

Article Construction & Building Technology

Use of fragility curves to assess the seismic vulnerability in the risk analysis of mountain tunnels

G. Andreotti et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2019)

Add to Collection

Article Construction & Building Technology

Simplified method for evaluating shield tunnel deformation due to adjacent excavation

Rongzhu Liang et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2018)

Add to Collection

Article Environmental Sciences

Correlation Analysis to Identify the Effective Data in Machine Learning: Prediction of Depressive Disorder and Emotion States

Sunil Kumar et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2018)

Add to Collection

Article Construction & Building Technology

Sensitivity analysis of wind pressure coefficients on CAARC standard tall buildings in CFD simulations

Fan-Qin Meng et al.

JOURNAL OF BUILDING ENGINEERING (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

A copula-based clustering algorithm to analyse EU country diets

F. Marta L. Di Lascio et al.

KNOWLEDGE-BASED SYSTEMS (2017)

Add to Collection

Article Computer Science, Artificial Intelligence

Fuzzy evidential influence diagram and its evaluation algorithm

Haoyang Zheng et al.

KNOWLEDGE-BASED SYSTEMS (2017)

Add to Collection

Article Computer Science, Artificial Intelligence

An improved Dempster-Shafer approach to construction safety risk perception

Limao Zhang et al.

KNOWLEDGE-BASED SYSTEMS (2017)

Add to Collection

Article Engineering, Civil

Towards reliability evaluation involving correlated multivariates under incomplete probability information: A reconstructed joint probability distribution for isoprobabilistic transformation

Fan Wang et al.

STRUCTURAL SAFETY (2017)

Add to Collection

Article Economics

Hedging downside risk of oil refineries: A vine copula approach

Kunlapath Sukcharoen et al.

ENERGY ECONOMICS (2017)

Add to Collection

Article Construction & Building Technology

Effects of architectural shapes on surface wind pressure distribution: Case studies of oval-shaped tall buildings

Dong-Xue Zhao et al.

JOURNAL OF BUILDING ENGINEERING (2017)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Multivariate probabilistic safety analysis of process facilities using the Copula Bayesian Network model

Seyed Javad Hashemi et al.

COMPUTERS & CHEMICAL ENGINEERING (2016)

Add to Collection

Article Engineering, Geological

Three-Dimensional Centrifuge Modeling of Ground and Pipeline Response to Tunnel Excavation

Jiangwei Shi et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2016)

Add to Collection

Article Engineering, Civil

Assessing small failure probabilities by AK-SS: An active learning method combining Kriging and Subset Simulation

Xiaoxu Huang et al.

STRUCTURAL SAFETY (2016)

Add to Collection

Article Construction & Building Technology

Effects of twin tunnels construction beneath existing shield-driven twin tunnels

Qian Fang et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2015)

Add to Collection

Article Engineering, Civil

PROPOSING A NEW METHODOLOGY BASED ON FUZZY LOGIC FOR TUNNELLING RISK ASSESSMENT

Abdolreza Yazdani-Chamzini

JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT (2014)

Add to Collection

Article Engineering, Industrial

Safety management in tunnel construction: Case study of Wuhan metro construction in China

Lieyun Ding et al.

SAFETY SCIENCE (2014)

Add to Collection

Article Computer Science, Artificial Intelligence

Comparison of individual and combined ANN models for prediction of air and dew point temperature

Karthik Nadig et al.

APPLIED INTELLIGENCE (2013)

Add to Collection

Article Computer Science, Artificial Intelligence

Incremental learning of privacy-preserving Bayesian networks

Saeed Samet et al.

APPLIED SOFT COMPUTING (2013)

Add to Collection

Article Engineering, Civil

Impact of copulas for modeling bivariate distributions on system reliability

Xiao-Song Tang et al.

STRUCTURAL SAFETY (2013)

Add to Collection

Article Statistics & Probability

Pair-copula constructions for non-Gaussian DAG models

Alexander Bauer et al.

CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE (2012)

Add to Collection

Article Computer Science, Artificial Intelligence

Evaluating the strength of intact rocks through genetic programming

Mojtaba Asadi et al.

APPLIED SOFT COMPUTING (2011)

Add to Collection

Article Computer Science, Artificial Intelligence

An inverse parameter identification procedure assessing the quality of the estimates using Bayesian neural networks

Jorg F. Unger et al.

APPLIED SOFT COMPUTING (2011)

Add to Collection

Article Construction & Building Technology

Genetic programming approach for prediction of compressive strength of concretes containing rice husk ash

Mustafa Saridemir

CONSTRUCTION AND BUILDING MATERIALS (2010)

Add to Collection

Article Engineering, Civil

Statistical modeling of joint probability distribution using copula: Application to peak and permanent displacement seismic demands

K. Goda

STRUCTURAL SAFETY (2010)

Add to Collection

Article Construction & Building Technology

Artificial neural networks analysis of Sao Paulo subway tunnel settlement data

Ovidio J. Santos et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2008)

Add to Collection

Article Computer Science, Artificial Intelligence

Supersonic, variable-throat, blow-down wind tunnel control using genetic algorithms, neural networks, and gain scheduled PID

Cameron R. Nott et al.

APPLIED INTELLIGENCE (2008)

Add to Collection

Article Construction & Building Technology

Guidelines for tunnelling risk management: International Tunnelling Association, Working Group No.2

SD Eskesen et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2004)

Add to Collection

© Peeref 2019-2024. All rights reserved.