4.6 Article

Probabilistic performance assessment of eccentric braced frames using artificial neural networks combined with correlation latin hypercube sampling

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Civil

The effects of modeling uncertainties on the residual drift of steel structures under mainshock-aftershock sequences

Mohammad Ch Basim et al.

Summary: The uncertainty in parameters defining the behavior of yielding components in structures affects the accuracy of predicting near-collapse behavior. This study investigates the sensitivity of residual drifts to modeling parameter uncertainties during sequential seismic events and explores the relationship between residual drifts and peak transient drifts. The findings reveal that seismic demands are more sensitive to strength and beam ductility modeling parameters, with sensitivities increasing during aftershocks.

STRUCTURES (2022)

Article Energy & Fuels

Comparison of Factorial and Latin Hypercube Sampling Designs for Meta-Models of Building Heating and Cooling Loads

Younhee Choi et al.

Summary: This study compares the accuracy of predicting energy loads in building design using Latin Hypercube Sampling (LHS) and Fractional Factor Design (FFD) methods. It was found that window insulation and Solar Heat Gain Coefficient have nonlinear characteristics on cooling and heating loads within the considered range of design parameters. LHS showed better prediction accuracy than FFD by considering the nonlinear impacts for a given number of treatments.

ENERGIES (2021)

Article Engineering, Civil

An efficient method for incorporating modeling uncertainties into collapse fragility of steel structures

F. Pourreza et al.

Summary: The deterioration parameters for steel components were traditionally calibrated based on experiments on steel beams, but recent studies have improved understanding of the deterioration behavior of steel columns through experimental and analytical studies. The uncertainties associated with deterioration are represented by the coefficient of variation. This study evaluates the effects of modeling random variables on collapse capacity and proposes an efficient approach using response surface and Monte Carlo sampling to incorporate uncertainties into collapse fragility assessments. The endurance time analysis is shown to be a cost-effective alternative to incremental dynamic analysis in estimating structural responses.

STRUCTURAL SAFETY (2021)

Article Engineering, Civil

Seismic loss assessment of steel structures equipped with rotational friction dampers subjected to intensifying dynamic excitations

Amir Shirkhani et al.

Summary: The study evaluates the expected seismic losses of structures with Rotational Friction Dampers (RFDs) using the Endurance Time (ET) method, and proposes a practical method to obtain the optimal frictional moment of the dampers in multi-story structures at multiple seismic hazard levels. Cost-benefit analysis is conducted to determine the payback period of investment for the rotational friction damping systems, while comprehensive performance evaluation is performed based on FEMA P-58 methodology.

ENGINEERING STRUCTURES (2021)

Article Computer Science, Artificial Intelligence

Estimating inelastic seismic response of reinforced concrete frame structures using a wavelet support vector machine and an artificial neural network

Sadjad Gharehbaghi et al.

NEURAL COMPUTING & APPLICATIONS (2020)

Article Construction & Building Technology

Collapse risk and earthquake-induced loss assessment of buildings with eccentrically braced frames

Omid Moammer et al.

JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2020)

Article Construction & Building Technology

Statistical seismic performance assessment of tuned mass damper inerter

Ali Kaveh et al.

STRUCTURAL CONTROL & HEALTH MONITORING (2020)

Article Construction & Building Technology

Reliability-based optimum seismic design of RC frames by a metamodel and metaheuristics

Saeed Gholizadeh et al.

STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS (2019)

Article Engineering, Civil

Approaches to the rapid seismic damage prediction of r/c buildings using artificial neural networks

Konstantinos Morfidis et al.

ENGINEERING STRUCTURES (2018)

Article Engineering, Civil

Predictive equations for shear link modeling toward collapse

Omid Moammer et al.

ENGINEERING STRUCTURES (2017)

Article Engineering, Civil

Probabilistic Performance-Based Optimum Seismic Design of RC Structures Considering Soil-Structure Interaction Effects

Hessam Yazdani et al.

ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING (2017)

Article Computer Science, Interdisciplinary Applications

Performance-based optimum seismic design of steel structures by a modified firefly algorithm and a new neural network

Saeed Gholizadeh

ADVANCES IN ENGINEERING SOFTWARE (2015)

Article Engineering, Civil

Average spectral acceleration as an intensity measure for collapse risk assessment

Laura Eads et al.

EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS (2015)

Article Engineering, Civil

Application of endurance time method in performance-based optimum design of structures

Mohammad Ch. Basim et al.

STRUCTURAL SAFETY (2015)

Article Engineering, Civil

Seismic performance of a steel moment-resisting frame subject to strength and ductility uncertainty

A. K. Kazantzi et al.

ENGINEERING STRUCTURES (2014)

Article Construction & Building Technology

Seismic Performance Uncertainty Estimation via IDA with Progressive Accelerogram-Wise Latin Hypercube Sampling

Dimitrios Vamvatsikos

JOURNAL OF STRUCTURAL ENGINEERING (2014)

Article Engineering, Civil

Earthquake performance of infilled frames using neural networks and experimental database

Tanja Kalman Sipos et al.

ENGINEERING STRUCTURES (2013)

Article Engineering, Civil

Real-time Seismic Damage Detection of Concrete Shear Walls Using Artificial Neural Networks

Mohammadreza Vafaei et al.

JOURNAL OF EARTHQUAKE ENGINEERING (2013)

Article Construction & Building Technology

Deterioration Modeling of Steel Components in Support of Collapse Prediction of Steel Moment Frames under Earthquake Loading

Dimitrios G. Lignos et al.

JOURNAL OF STRUCTURAL ENGINEERING (2011)

Article Construction & Building Technology

Optimal damper placement in steel frames by the Endurance Time method

Homayoon E. Estekanchi et al.

STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS (2011)

Article Computer Science, Interdisciplinary Applications

Perceptron Learning in Engineering Design

H. ADELI et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2010)

Article Engineering, Civil

Incremental dynamic analysis with consideration of modeling uncertainties

Matjaz Dolsek

EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS (2009)

Article Engineering, Civil

Alternative non-linear demand estimation methods for probability-based seismic assessments

F. Jalayer et al.

EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS (2009)

Article Engineering, Multidisciplinary

Optimum shape design of arch dams for earthquake loading using a fuzzy inference system and wavelet neural networks

S. M. Seyedpoor et al.

ENGINEERING OPTIMIZATION (2009)

Article Engineering, Civil

Prediction of seismic-induced structural damage using artificial neural networks

Oliver Richard de Lautour et al.

ENGINEERING STRUCTURES (2009)

Article Engineering, Civil

Probabilistic structural response assessment using vector-valued intensity measures

Jack W. Baker

EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS (2007)

Article Engineering, Civil

Application of Endurance Time method in linear seismic analysis

H. E. Estekanchi et al.

ENGINEERING STRUCTURES (2007)

Article Engineering, Mechanical

Latin hypercube sampling for stochastic finite element analysis

AMJ Olsson et al.

JOURNAL OF ENGINEERING MECHANICS-ASCE (2002)

Review Computer Science, Interdisciplinary Applications

Neural networks in civil engineering: 1989-2000

H Adeli

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2001)