scholarly journals Optimal Design of Earthquake-Resistant Buildings Based on Neural Network Inversion

2021 ◽  
Vol 11 (10) ◽  
pp. 4654
Author(s):  
Carlo Calledda ◽  
Augusto Montisci ◽  
Maria Cristina Porcu
Keyword(s):  
Neural Network ◽  
Optimal Design ◽  
Seismic Analysis ◽  
Three Dimensional ◽  
Structural Response ◽  
Time History ◽  
Optimal Choice ◽  
Design Parameters ◽  
Earthquake Resistant ◽  
Non Linear

An effective seismic design entails many issues related to the capacity-based assessment of the non-linear structural response under strong earthquakes. While very powerful structural calculation programs are available to assist the designer in the code-based seismic analysis, an optimal choice of the design parameters leading to the best performance at the lowest cost is not always assured. The present paper proposes a procedure to cost-effectively design earthquake-resistant buildings, which is based on the inversion of an artificial neural network and on an optimization algorithm for the minimum total cost under building code constraints. An exemplificative application of the method to a reinforced-concrete multi-story building, with seismic demands corresponding to a medium-seismicity Italian zone, is shown. Three design-governing parameters are assumed to build the input matrix, while eight capacity-design target requirements are assigned for the output dataset. A non-linear three-dimensional concentrated plasticity model of the structure is implemented, and time-history dynamic analyses are carried out with spectrum-consistent ground motions. The results show the promising ability of the proposed approach for the optimal design of earthquake-resistant structures.

Application of Earthquake Resistance Analysis Technique in the Design of Constructional Engineering

2013 ◽  
Vol 756-759 ◽  
pp. 4482-4486
Author(s):  
Chun Gan ◽  
Xue Song Luo
Keyword(s):  
Response Spectrum ◽  
Structural Response ◽  
Time History ◽  
Economic Losses ◽  
Element Analysis ◽  
Architectural Engineering ◽  
Analysis Technique ◽  
History Analysis ◽  
Earthquake Resistant ◽  
History Of

In recent years, frequent earthquakes have caused great casualties and economic losses in China. And in the earthquake, damage of buildings and the collapse is the main reason causing casualties. Therefore, in the design of constructional engineering, a seismicity of architectural structure is the pressing task at issue. Through time history analysis method, this paper analyzes the time history of building structural response and then it predicts the peak response of mode by response spectrum analysis. Based on this, this paper constructs a numerical simulation model for the architecture by using finite element analysis software SATWE. At the same time, this paper also calculates the structure seismic so as to determine the design of each function structure in architectural engineering design and then provides reference for the realization of earthquake-resistant building.

A simple approach for optimal allocation of dampers in nonsymmetrical 3D multi-storey structures

2014 ◽  
Vol 14 (03) ◽  
pp. 1350074 ◽  
Author(s):  
L. J. Leu ◽  
J. T. Chang
Keyword(s):  
Optimal Allocation ◽  
Seismic Analysis ◽  
Search Algorithm ◽  
Three Dimensional ◽  
Time History ◽  
Simple Approach ◽  
Optimal Placement ◽  
Drift Ratio ◽  
History Analysis ◽  
Stop Criterion

A new simple approach is proposed to search for the optimal placement of dampers in nonsymmetrical three-dimensional (3D) structures. Dampers are placed uniformly and initially at each storey of two selected bays of the bare structures and the time-history seismic analysis is performed. The maximal inter-storey drift ratio is chosen as the performance index. Then the inter-storey drift ratio is checked for the locations where dampers were added. The damper in the location with the minimal inter-storey drift ratio is moved to the location having the maximal inter-storey drift ratio. This process is repeated until the prescribed stop criterion is met. Both linear and nonlinear viscous dampers are used in this study. The damping coefficient of added dampers for the initial damper placement is determined by setting the maximal inter-storey drift ratio of the whole structure equal to a certain value when a ground motion is applied. In the proposed relocation process, the maximal inter-storey drift ratio will be reduced significantly. Three examples, including two 10-storey and one 20-storey 3D nonsymmetrical structures, are used to demonstrate the efficiency and accuracy of the proposed approach. The results are compared with those obtained using the simplified sequential search algorithm (SSSA). It is found that the proposed approach requires fewer number of time-history analysis than that using the SSSA while their accuracy is comparable.

scholarly journals A Monte Carlo Simulation Approach in Non-linear Structural Dynamics Using Convolutional Neural Networks

2021 ◽  
Vol 7 ◽  
Author(s):  
Franz Bamer ◽  
Denny Thaler ◽  
Marcus Stoffel ◽  
Bernd Markert
Keyword(s):  
Neural Network ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Convolutional Neural Network ◽  
Ground Motion ◽  
Structural Response ◽  
Structural Failure ◽  
Non Linear ◽  
Time Histories ◽  
Sample Set

The evaluation of the structural response statistics constitutes one of the principal tasks in engineering. However, in the tail region near structural failure, engineering structures behave highly non-linear, making an analytic or closed form of the response statistics difficult or even impossible. Evaluating a series of computer experiments, the Monte Carlo method has been proven a useful tool to provide an unbiased estimate of the response statistics. Naturally, we want structural failure to happen very rarely. Unfortunately, this leads to a disproportionately high number of Monte Carlo samples to be evaluated to ensure an estimation with high confidence for small probabilities. Thus, in this paper, we present a new Monte Carlo simulation method enhanced by a convolutional neural network. The sample-set used for this Monte Carlo approach is provided by artificially generating site-dependent ground motion time histories using a non-linear Kanai-Tajimi filter. Compared to several state-of-the-art studies, the convolutional neural network learns to extract the relevant input features and the structural response behavior autonomously from the entire time histories instead of learning from a set of hand-chosen intensity inputs. Training the neural network based on a chosen input sample set develops a meta-model that is then used as a meta-model to predict the response of the total Monte Carlo sample set. This paper presents two convolutional neural network-enhanced strategies that allow for a practical design approach of ground motion excited structures. The first strategy enables for an accurate response prediction around the mean of the distribution. It is, therefore, useful regarding structural serviceability. The second strategy enables for an accurate prediction around the tail end of the distribution. It is, therefore, beneficial for the prediction of the probability of failure.

scholarly journals Seismic Response of 3D Steel Buildings considering the Effect of PR Connections and Gravity Frames

2014 ◽  
Vol 2014 ◽  
pp. 1-13
Author(s):  
Alfredo Reyes-Salazar ◽  
Edén Bojórquez ◽  
Achintya Haldar ◽  
Arturo López-Barraza ◽  
J. Luz Rivera-Salas
Keyword(s):  
Seismic Analysis ◽  
Three Dimensional ◽  
Structural Response ◽  
Steel Buildings ◽  
Three Dimensional Model ◽  
Structural Resistance ◽  
Moment Resisting ◽  
Plane Frames ◽  
Partially Restrained ◽  
Gravity Frames

The nonlinear seismic responses of 3D steel buildings with perimeter moment resisting frames (PMRF) and interior gravity frames (IGF) are studied explicitly considering the contribution of the IGF. The effect on the structural response of the stiffness of the beam-to-column connections of the IGF, which is usually neglected, is also studied. It is commonly believed that the flexibility of shear connections is negligible and that 2D models can be used to properly represent 3D real structures. The results of the study indicate, however, that the moments developed on columns of IGF can be considerable and that modeling buildings as plane frames may result in very conservative designs. The contribution of IGF to the lateral structural resistance may be significant. The contribution increases when their connections are assumed to be partially restrained (PR). The incremented participation of IGF when the stiffness of their connections is considered helps to counteract the no conservative effect that results in practice when lateral seismic loads are not considered in IGF while designing steel buildings with PMRF. Thus, if the structural system under consideration is used, the three-dimensional model should be used in seismic analysis and the IGF and the stiffness of their connections should be considered as part of the lateral resistance system.

scholarly journals Effect of Cohesive Contact of Backfill with Arch and Spandrel Walls of a Historical Masonry Arch Bridge on Seismic Response

2019 ◽  
Author(s):  
Emin Hokelekli
Keyword(s):  
Seismic Analysis ◽  
Time History ◽  
Material Model ◽  
Masonry Arch ◽  
Arch Bridge ◽  
Non Linear ◽  
Out Of Plane ◽  
Historical Masonry ◽  
Masonry Arch Bridge ◽  
East West

Historical masonry bridges generally consist of arches, spandrels walls, backfills, piers and foundations. Under the effects such as earthquake, flood and wind, the most vulnerable structural elements of bridges against out-of-plane seismic motions are spandrel walls. Increasing length and height of spandrel walls increases the vulnerability of the bridge under loads in vertical and transverse directions. The aim of this research is to examine the in-plane and out-of-plane non-linear structural responses of the spandrel walls of a historical masonry bridge. For this purpose, a historical masonry arch bridge with built in 1787 in Bartın-Turkey was chosen as the subject structure. The 3D finite element model and nonlinear seismic analyses of the bridge were performed with ABAQUS. Initially, the backfill-spandrels and backfill-arch interfaces of the bridge were modeled with and without cohesive contact. The non-linear material responses of the spandrel walls and the arch units were defined using Concrete Damage Plasticity material model and those of the backfill unit were defined with Mohr-Coulomb material model. The east-west component of 17 August 1999 Kocaeli Earthquake’s acceleration records was used in the analyses. The east-west acceleration component was applied on the bridge in-plane and out-of-plane directions during the time-history non-linear seismic analysis of the bridge. The results obtained from the analyses with and without the consideration of cohesive contact were compared to evaluate the seismic responses of the spandrel walls. As a result, cohesive interface behavior was found to significantly affect the spandrel wall response under in- plane and out-of-plane seismic forces.

scholarly journals Optimal Design of Liquid Dampers for Structural Vibration Control Based on GA andH∞Norm

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Linsheng Huo ◽  
Wenhe Shen ◽  
Hongnan Li ◽  
Yaowen Zhang
Keyword(s):  
Optimal Design ◽  
Ground Motion ◽  
Structural Response ◽  
Optimal Solution ◽  
Time History ◽  
Optimization Procedure ◽  
Structural Vibration ◽  
Earthquake Excitation ◽  
Liquid Dampers ◽  
Ground Motion Records

This paper focused on the optimal design of liquid dampers for the seismic response control of structures. TheH∞norm of the transfer function from the ground motion to the structural response is selected as the optimal objective. The optimization procedure is carried out by using Genetic Algorithms (GAs) in order to reach an optimal solution. The proposed method has the advantages that it is unnecessary to solve the equation of motion for the control system and that the obtained optimal parameters of dampers are not dependent on the ground motion records. The influences of weighted functions on the optimization results are analyzed. The generality and effeteness of the proposed method are verified by the time history analysis of a 3-story structure subjected to earthquake records in different sites. The results show that the structural responses can be effectively reduced subjected to earthquake excitation at different sites.

Optimized Intelligent Auto-Regressive Neural Network Model (ARNN) for Prediction of Non-Linear Exogenous Signals

2021 ◽  
Author(s):  
Lubna Farhi ◽  
Agha Yasir
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Computational Cost ◽  
Error Component ◽  
Design Parameters ◽  
Non Linear ◽  
Auto Regressive ◽  
Comparison Of The Results ◽  
Intelligent Approach

Abstract The paper presents a prediction of non-linear exogenous signal by optimized intelligent auto-regressive neural network model (ARNN). A signal comprises of two sets of data called deterministic and error. The former type of data represents the degradation index of a signal, while the error is the uncertainties associated with the signal. To understand and predict signals, a intelligent approach is taken through the use of ARNN model. In this approach, the rst step is to diagnose whether a time series signal is normally distributed or not by utilizing the Jarque-Bera test. The high and low volatility data ele- ments can be separated via kurtosis hypothesis. The deterministic component of the signal is also predicted by developing a neural network based non-linear autoregressive model (NN-NARX) and the error component by using a linear model. The nal forecast is formed by combining the results determined from each of the models and evaluated using the mean square error results. Vali- dation of the prediction is obtained through a comparison of the results with other models such as ARNN, traditional ARMX, and NARX models. The re- sults show that the proposed model provides improved predictions, minimize high dependence on design parameters with low computational cost.

Sign in / Sign up

Export Citation Format

Share Document