TY - JOUR A1 - Bapir, Baban A1 - Abrahamczyk, Lars A1 - Wichtmann, Torsten A1 - Prada-Sarmiento, Luis Felipe ED - Ozturk, Baki T1 - Soil-structure interaction: A state-of-the-art review of modeling techniques and studies on seismic response of building structures JF - Frontiers in Built Environment N2 - The present article aims to provide an overview of the consequences of dynamic soil-structure interaction (SSI) on building structures and the available modelling techniques to resolve SSI problems. The role of SSI has been traditionally considered beneficial to the response of structures. However, contemporary studies and evidence from past earthquakes showed detrimental effects of SSI in certain conditions. An overview of the related investigations and findings is presented and discussed in this article. Additionally, the main approaches to evaluate seismic soil-structure interaction problems with the commonly used modelling techniques and computational methods are highlighted. The strength, limitations, and application cases of each model are also discussed and compared. Moreover, the role of SSI in various design codes and global guidelines is summarized. Finally, the advancements and recent findings on the SSI effects on the seismic response of buildings with different structural systems and foundation types are presented. In addition, with the aim of helping new researchers to improve previous findings, the research gaps and future research tendencies in the SSI field are pointed out. KW - Boden-Bauwerk-Wechselwirkung KW - Bautechnik KW - Erdbeben KW - Grundlage KW - soil-structure interaction KW - structural engineering KW - earthquake engineering KW - foundations KW - OA-Publikationsfonds2023 Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20230206-49190 UR - https://www.frontiersin.org/articles/10.3389/fbuil.2023.1120351/full VL - 2023 IS - Volume 9 SP - 1 EP - 17 PB - Frontiers Media CY - Lausanne ER - TY - THES A1 - Bayer, Veit T1 - Zur Zuverlässigkeitsbeurteilung von Baukonstruktionen unter dynamischen Einwirkungen T1 - On the reliability assessment of building structures subjected to dynamic excitation N2 - Die Arbeit befaßt sich mit varianzmindernden Verfahren zur Monte Carlo Simulation von stochastischen Prozessen, zum Zweck der Zuverlässigkeitsbeurteilung von Baukonstruktionen mit nichtlinearem Systemverhalten. Kap. 2 ist eine Literaturstudie zu varianzmindernden Monte Carlo Methoden. In Kap. 3 wird die Spektrale Darstellung eines stationären, skalaren Gauß - Prozesses hergeleitet. Auf dieser Grundlage werden verschiedene Simulationsmodelle diskutiert. Das in Kap. 4 entwickelte varianzmindernde Simulationsverfahren basiert auf der Spektralen Darstellung. Nach einer ersten Pilotsimulation werden die Frequenzen für die Einführung zufälliger Amplituden bestimmt und deren Parameter angepaßt. Der zweite Lauf erfolgt mit diesen Parametern nach dem Prinzip des Importance Sampling. Das Verfahren wird in Kap. 5 für eine Brücke unter Erdbebenbelastung angewendet. Die Brücke ist mit sog. Hysteretic Devices zur Energiedissipation ausgerüstet. Es werden einerseits die Genauigkeit und Effizienz des Simulationsverfahrens, andererseits die Leistungsfähigkeit der Hysteretic Devices zur Erdbebenertüchtigung von Bauwerken demonstriert. N2 - Main topic is the development of variance–reducing Monte Carlo methods, for the purpose of reliability analyses of engineering structures with nonlinear behaviour. Ch. 2 is a literature survey on variance-reducing Monte Carlo methods. The Spectral Representation of a scalar, stationary Gaussian process is derived in ch. 3. On this basis, two popular simulation methods are discussed. The variance-reducing simulation concept developed in ch. 4 is based on the Spectral Representation. After a first pilot simulation, the frequencies are selected for introduction of amplitudes as random variables. In addition, the parameters of the amplitudes are adapted. This is the basis for the second simulation following the Importance Sampling principle. This simulation concept is utilized for reliability analysis of a bridge subjected to earthquake excitation in ch. 5. The bridge is equipped with Hysteretic Devices for dissipation of energy. The example demonstrates, on one hand, the accuracy and efficiency of the developed simulation method. On the other hand, the effectiveness of Hysteretic Devices for earthquake protection of building structures becomes evident. KW - Baukonstruktion KW - Dynamische Belastung KW - Zuverlässigkeit KW - Sicherheitstheorie KW - Erdbeben KW - Probabilistik KW - Brücke KW - Monte-Carlo Simulation KW - reliability assessment KW - earthquake KW - probabilistics KW - bridge KW - Monte Carlo simulation Y1 - 1999 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20040205-215 ER - TY - THES A1 - Golbs, Christian T1 - Probabilistische seismische Gefährdungsanalysen auf der Grundlage von Epizentrendichten und ihre ingenieurpraktischen Anwendungsgebiete T1 - Probabilistic Seismic Hazard Assessment based on Epicenter Density and the Area of Application N2 - Ziel der Arbeit ist es, eine neue Methode der seismischen Gefährdungsabschätzung vorzustellen. Es wird die Abschätzung der seismischen Gefährdung ohne die häufig angewandten Einteilungen in seismische Quellzonen beschrieben. Die vorgestellte Methode basiert auf Nachbarschaftsanalysen von Epizentren. Diese Nachbarschaftsanalysen ermöglichen ein selbst generierendes seismisches Quellenmodell. Entwicklung, Parameterstudien und Anwendung der Methode werden gezeigt. N2 - The target of this work is a to create a new resource for seismic hazard assessment. A method of seismic hazard estimation without the common seismic source zonations is described. Background of the presented method is a neighbourhood analysis of epicenters. This approach allows a self generating seismic source modell. Development, parameter studies and application of the method are shown in this script. T3 - Schriftenreihe des Instituts für Konstruktiven Ingenieurbau - 20 KW - Gefährdung KW - Erdbeben KW - Erdbebengefährdung KW - Epizentrendichte KW - seismic hazard KW - hazard assessment KW - epicenter density Y1 - 2009 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20100112-14982 ER - TY - JOUR A1 - Harirchian, Ehsan A1 - Kumari, Vandana A1 - Jadhav, Kirti A1 - Raj Das, Rohan A1 - Rasulzade, Shahla A1 - Lahmer, Tom T1 - A Machine Learning Framework for Assessing Seismic Hazard Safety of Reinforced Concrete Buildings JF - Applied Sciences N2 - Although averting a seismic disturbance and its physical, social, and economic disruption is practically impossible, using the advancements in computational science and numerical modeling shall equip humanity to predict its severity, understand the outcomes, and equip for post-disaster management. Many buildings exist amidst the developed metropolitan areas, which are senile and still in service. These buildings were also designed before establishing national seismic codes or without the introduction of construction regulations. In that case, risk reduction is significant for developing alternatives and designing suitable models to enhance the existing structure’s performance. Such models will be able to classify risks and casualties related to possible earthquakes through emergency preparation. Thus, it is crucial to recognize structures that are susceptible to earthquake vibrations and need to be prioritized for retrofitting. However, each building’s behavior under seismic actions cannot be studied through performing structural analysis, as it might be unrealistic because of the rigorous computations, long period, and substantial expenditure. Therefore, it calls for a simple, reliable, and accurate process known as Rapid Visual Screening (RVS), which serves as a primary screening platform, including an optimum number of seismic parameters and predetermined performance damage conditions for structures. In this study, the damage classification technique was studied, and the efficacy of the Machine Learning (ML) method in damage prediction via a Support Vector Machine (SVM) model was explored. The ML model is trained and tested separately on damage data from four different earthquakes, namely Ecuador, Haiti, Nepal, and South Korea. Each dataset consists of varying numbers of input data and eight performance modifiers. Based on the study and the results, the ML model using SVM classifies the given input data into the belonging classes and accomplishes the performance on hazard safety evaluation of buildings. KW - Erdbeben KW - Vulnerability KW - Earthquake KW - damaged buildings KW - earthquake safety assessment KW - soft computing techniques KW - rapid visual screening KW - Machine Learning KW - vulnerability assessment KW - OA-Publikationsfonds2020 Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20201022-42744 UR - https://www.mdpi.com/2076-3417/10/20/7153 VL - 2020 IS - Volume 10, issue 20, article 7153 PB - MDPI CY - Basel ER - TY - JOUR A1 - Harirchian, Ehsan A1 - Lahmer, Tom T1 - Improved Rapid Visual Earthquake Hazard Safety Evaluation of Existing Buildings Using a Type-2 Fuzzy Logic Model JF - Applied Sciences N2 - Rapid Visual Screening (RVS) is a procedure that estimates structural scores for buildings and prioritizes their retrofit and upgrade requirements. Despite the speed and simplicity of RVS, many of the collected parameters are non-commensurable and include subjectivity due to visual observations. This might cause uncertainties in the evaluation, which emphasizes the use of a fuzzy-based method. This study aims to propose a novel RVS methodology based on the interval type-2 fuzzy logic system (IT2FLS) to set the priority of vulnerable building to undergo detailed assessment while covering uncertainties and minimizing their effects during evaluation. The proposed method estimates the vulnerability of a building, in terms of Damage Index, considering the number of stories, age of building, plan irregularity, vertical irregularity, building quality, and peak ground velocity, as inputs with a single output variable. Applicability of the proposed method has been investigated using a post-earthquake damage database of reinforced concrete buildings from the Bingöl and Düzce earthquakes in Turkey. KW - Fuzzy-Logik KW - Erdbeben KW - Fuzzy Logic KW - Rapid Visual Screening KW - Vulnerability assessment KW - OA-Publikationsfonds2020 Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20200331-41161 UR - https://www.mdpi.com/2076-3417/10/7/2375 VL - 2020 IS - Volume 10, Issue 3, 2375 PB - MDPI CY - Basel ER - TY - JOUR A1 - Harirchian, Ehsan A1 - Lahmer, Tom A1 - Buddhiraju, Sreekanth A1 - Mohammad, Kifaytullah A1 - Mosavi, Amir T1 - Earthquake Safety Assessment of Buildings through Rapid Visual Screening JF - Buildings N2 - Earthquake is among the most devastating natural disasters causing severe economical, environmental, and social destruction. Earthquake safety assessment and building hazard monitoring can highly contribute to urban sustainability through identification and insight into optimum materials and structures. While the vulnerability of structures mainly depends on the structural resistance, the safety assessment of buildings can be highly challenging. In this paper, we consider the Rapid Visual Screening (RVS) method, which is a qualitative procedure for estimating structural scores for buildings suitable for medium- to high-seismic cases. This paper presents an overview of the common RVS methods, i.e., FEMA P-154, IITK-GGSDMA, and EMPI. To examine the accuracy and validation, a practical comparison is performed between their assessment and observed damage of reinforced concrete buildings from a street survey in the Bingöl region, Turkey, after the 1 May 2003 earthquake. The results demonstrate that the application of RVS methods for preliminary damage estimation is a vital tool. Furthermore, the comparative analysis showed that FEMA P-154 creates an assessment that overestimates damage states and is not economically viable, while EMPI and IITK-GGSDMA provide more accurate and practical estimation, respectively. KW - Maschinelles Lernen KW - Machine learning KW - Erdbeben KW - buildings KW - earthquake safety assessment KW - earthquake KW - extreme events KW - seismic assessment KW - natural hazard KW - mitigation KW - rapid visual screening Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20200331-41153 UR - https://www.mdpi.com/2075-5309/10/3/51 VL - 2020 IS - Volume 10, Issue 3 PB - MDPI ER - TY - JOUR A1 - Harirchian, Ehsan A1 - Lahmer, Tom A1 - Kumari, Vandana A1 - Jadhav, Kirti T1 - Application of Support Vector Machine Modeling for the Rapid Seismic Hazard Safety Evaluation of Existing Buildings JF - Energies N2 - The economic losses from earthquakes tend to hit the national economy considerably; therefore, models that are capable of estimating the vulnerability and losses of future earthquakes are highly consequential for emergency planners with the purpose of risk mitigation. This demands a mass prioritization filtering of structures to identify vulnerable buildings for retrofitting purposes. The application of advanced structural analysis on each building to study the earthquake response is impractical due to complex calculations, long computational time, and exorbitant cost. This exhibits the need for a fast, reliable, and rapid method, commonly known as Rapid Visual Screening (RVS). The method serves as a preliminary screening platform, using an optimum number of seismic parameters of the structure and predefined output damage states. In this study, the efficacy of the Machine Learning (ML) application in damage prediction through a Support Vector Machine (SVM) model as the damage classification technique has been investigated. The developed model was trained and examined based on damage data from the 1999 Düzce Earthquake in Turkey, where the building’s data consists of 22 performance modifiers that have been implemented with supervised machine learning. KW - Erdbeben KW - Maschinelles Lernen KW - earthquake vulnerability assessment KW - rapid visual screening KW - machine learning KW - support vector machine KW - buildings KW - OA-Publikationsfonds2020 Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20200707-41915 UR - https://www.mdpi.com/1996-1073/13/13/3340 VL - 2020 IS - volume 13, issue 13, 3340 PB - MDPI CY - Basel ER - TY - JOUR A1 - Harirchian, Ehsan A1 - Lahmer, Tom A1 - Rasulzade, Shahla T1 - Earthquake Hazard Safety Assessment of Existing Buildings Using Optimized Multi-Layer Perceptron Neural Network JF - Energies N2 - The latest earthquakes have proven that several existing buildings, particularly in developing countries, are not secured from damages of earthquake. A variety of statistical and machine-learning approaches have been proposed to identify vulnerable buildings for the prioritization of retrofitting. The present work aims to investigate earthquake susceptibility through the combination of six building performance variables that can be used to obtain an optimal prediction of the damage state of reinforced concrete buildings using artificial neural network (ANN). In this regard, a multi-layer perceptron network is trained and optimized using a database of 484 damaged buildings from the Düzce earthquake in Turkey. The results demonstrate the feasibility and effectiveness of the selected ANN approach to classify concrete structural damage that can be used as a preliminary assessment technique to identify vulnerable buildings in disaster risk-management programs. KW - Erdbeben KW - Maschinelles Lernen KW - earthquake damage KW - seismic vulnerability KW - artificial neural network KW - OA-Publikationsfonds2020 Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20200504-41575 UR - https://www.mdpi.com/1996-1073/13/8/2060/htm VL - 2020 IS - Volume 13, Issue 8, 2060 PB - MDPI CY - Basel ER - TY - JOUR A1 - Işık, Ercan A1 - Büyüksaraç, Aydın A1 - Levent Ekinci, Yunus A1 - Aydın, Mehmet Cihan A1 - Harirchian, Ehsan T1 - The Effect of Site-Specific Design Spectrum on Earthquake-Building Parameters: A Case Study from the Marmara Region (NW Turkey) JF - Applied Sciences N2 - The Marmara Region (NW Turkey) has experienced significant earthquakes (M > 7.0) to date. A destructive earthquake is also expected in the region. To determine the effect of the specific design spectrum, eleven provinces located in the region were chosen according to the Turkey Earthquake Building Code updated in 2019. Additionally, the differences between the previous and updated regulations of the country were investigated. Peak Ground Acceleration (PGA) and Peak Ground Velocity (PGV) were obtained for each province by using earthquake ground motion levels with 2%, 10%, 50%, and 68% probability of exceedance in 50-year periods. The PGA values in the region range from 0.16 to 0.7 g for earthquakes with a return period of 475 years. For each province, a sample of a reinforced-concrete building having two different numbers of stories with the same ground and structural characteristics was chosen. Static adaptive pushover analyses were performed for the sample reinforced-concrete building using each province’s design spectrum. The variations in the earthquake and structural parameters were investigated according to different geographical locations. It was determined that the site-specific design spectrum significantly influences target displacements for performance-based assessments of buildings due to seismicity characteristics of the studied geographic location. KW - Erdbeben KW - earthquake KW - site-specific spectrum KW - Marmara Region KW - seismic hazard analysis KW - adaptive pushover KW - OA-Publikationsfonds2020 Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20201022-42758 UR - https://www.mdpi.com/2076-3417/10/20/7247 VL - 2020 IS - Volume 10, issue 20, article 7247 PB - MDPI CY - Basel ER - TY - THES A1 - Radmard Rahmani, Hamid T1 - Artificial Intelligence Approach for Seismic Control of Structures N2 - Abstract In the first part of this research, the utilization of tuned mass dampers in the vibration control of tall buildings during earthquake excitations is studied. The main issues such as optimizing the parameters of the dampers and studying the effects of frequency content of the target earthquakes are addressed. Abstract The non-dominated sorting genetic algorithm method is improved by upgrading generic operators, and is utilized to develop a framework for determining the optimum placement and parameters of dampers in tall buildings. A case study is presented in which the optimal placement and properties of dampers are determined for a model of a tall building under different earthquake excitations through computer simulations. Abstract In the second part, a novel framework for the brain learning-based intelligent seismic control of smart structures is developed. In this approach, a deep neural network learns how to improve structural responses during earthquake excitations using feedback control. Abstract Reinforcement learning method is improved and utilized to develop a framework for training the deep neural network as an intelligent controller. The efficiency of the developed framework is examined through two case studies including a single-degree-of-freedom system and a high-rise building under different earthquake excitation records. Abstract The results show that the controller gradually develops an optimum control policy to reduce the vibrations of a structure under an earthquake excitation through a cyclical process of actions and observations. Abstract It is shown that the controller efficiently improves the structural responses under new earthquake excitations for which it was not trained. Moreover, it is shown that the controller has a stable performance under uncertainties. KW - Erdbeben KW - seismic control KW - tuned mass damper KW - reinforcement learning KW - earthquake KW - machine learning KW - Operante Konditionierung KW - structural control Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20200417-41359 ER - TY - THES A1 - Weitzmann, Rüdiger T1 - Theory and application of optimization strategies for the design of seismically excited structures N2 - The study introduces into the theory and application of optimization strategies in earthquake engineering. The optimization algorithm substitutes the intuitive solution of practical problems done by the engineer in daily practice, providing automatic design tools and numerical means for further exploration of the design space for various extremum states. This requires a mathematical formulation of the design task, that is provided for typical seismic evaluations within this document. Utilizing the natural relation between design and optimization tasks, appropriate mechanical concepts are developed and discussed. The explanations start with an overview on the mechanical background for continua. Hereby the focus is placed on elasto-plastic structures. The given extremum formulations are treated with help of discretization methods in order to obtain optimization problems. These basics are utilized for derivation of programs for eigenvalue and stability analysis, that are applied in simplified linear analysis for the design of seismically excited structures. Another focus is set on the application in simplified nonlinear design, that uses limit state analyses on the basis of nonlinear problem formulations. Well known concepts as the response and pushover analysis are covered as well as alternative strategies on the basis of shakedown theory or cycle and deformation based evaluations. Furthermore, the study gives insight into the application of optimization problems in conjunction with nonlinear time history analyses. The solution of step-by-step procedures within optimization algorithms is shown and aspects of dynamic limit state analyses are discussed. For illustration of the great variety of optimization-based concepts in earthquake engineering, several specialized applications are presented, e.g. the generation of artificial ground motions and the determination of reduction coefficients for design spectrum reduction due to viscous and hysteretic damping. As well alternative strategies for the design of base isolated structures with controlled impact are presented. All presented applications are illustrated with help of various examples. N2 - Die vorliegende Arbeit führt in die Theorie und Anwendung von Optimiierungsverfahren im Erdbebeningenieurwesen ein. Die vorgestellten Optimierungsalgorithmen ersetzen die typische intuitive Lösung von praktischen Bemessungsaufgaben, mit Bereitstellung von automatischen Methoden und numerischen Mitteln für die Bewertung des Designraumes bezüglich extremer Zustände. Dies erfordert eine geeignete mathematische Formulierung der Bemessungsaufgaben, die für typische Anwendungsfälle bereitgestellt werden. Ausgehend von der engen Beziehung von Bemessungs- und Optimierungsaufgaben werden wesentliche theoretische Grundlagen für die Ableitung praxistauglicher Analysekonzepte entwickelt und diskutiert. Die Darstellung beginnt mit einem Überblick zum mechanischen Hintergrund. Der Schwerpunkt wird dabei auf die Analyse von elastisch-plastischen Tragwerken gelegt. Die vorgestellten Extremalformulierungen werden mit Methoden der Diskretisierung in Optimierungsprobleme umgeformt. Diese bilden die Grundlage für die Analyse von Eigenwert- und Stabilitätsproblemen im Erdbebeningenierwesen. Weiterhin werden vereinfachte lineare Bemessungsmethoden besprochen. Eine Erweiterung wird duch die Einbeziehung von nichlinearen Aspekten erzielt, die einen wesentlichen Teil der Arbeit ausmachen. Einerseits werden bekannte Konzepte auf der Basis von Antwortspektren und Pushoveranalysen einbezogen, andererseits werden auch alternative Strategien auf der Basis der Einspieltheorie oder zyklen- oder deformationsbasierten Analyse vorgestellt. Desweiteren werden Anwendungen von Optimierungsverfahren im Zusammenhang mit nichtlinearen Zeitverlaufsmethoden diskutiert. Die Lösung von Zeitverlaufsproblemen in Form von Optimierungsaufgaben wird vorgestellt und Aspekte der Grenzzustandsanalyse für dynamische Probleme behandelt. Die Vielfältigkeit von Optimierungsanwendungen im Erdbebeningenieurwesen wird anhand verschiedener Spezialanwendungen demonstriert wie z.B. die Generierung von künstlichen Erdbebenzeitverläufen und die Modifikation von Bemessungsspektren für die Analyse von nichtlinear beanspruchten Tragwerken mit viskoser und hysteretischer Dämpfung. Darüberhinaus wird eine alternative Methode für die Bemessung von basisisolierten Tragwerken unter Verwendung von kontrollierten Kollisionen vorgestellt. Alle Anwendungen werden in zahlreichen Beispielen näher erläutert. T2 - Theorie und Anwendung von Optimierungsstrategien für die Bemessung von seismisch beanspruchten Tragwerken T3 - Schriftenreihe des Instituts für Konstruktiven Ingenieurbau - 19 KW - Dynamik KW - Erdbeben KW - Bemessung KW - Optimierung KW - Dynamics KW - Earthquake KW - Design KW - Optimization Y1 - 2009 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20091030-14917 ER -