The Experts below are selected from a list of 15084 Experts worldwide ranked by ideXlab platform

Manolis Papadrakakis - One of the best experts on this subject based on the ideXlab platform.

  • life cycle Cost assessment of optimally designed reinforced concrete buildings under seismic actions
    Reliability Engineering & System Safety, 2011
    Co-Authors: Chara Ch Mitropoulou, Nikos D. Lagaros, Manolis Papadrakakis
    Abstract:

    Abstract Life-cycle Cost analysis (LCCA) is an assessment tool for studying the performance of systems in many fields of engineering. In earthquake engineering LCCA demands the calculation of the Cost components that are related to the performance of the structure in multiple earthquake hazard levels. Incremental static and dynamic analyses are two procedures that can be used for estimating the seismic capacity of a structural system and can therefore be incorporated into the LCCA methodology. In this work the effect of the analysis procedure, the number of seismic records imposed, the performance criterion used and the structural type (regular or irregular) is investigated, on the life-cycle Cost analysis of 3D reinforced concrete structures. Furthermore, the influence of uncertainties on the seismic response of structural systems and their impact on LCCA is examined. The uncertainty on the material properties, the cross-section dimensions and the record-incident angle is taking into account with the incorporation of the Latin hypercube sampling method into the incremental dynamic analysis procedure. In addition, the LCCA methodology is used as an assessment tool for the designs obtained by means of prescriptive and performance-based optimum design methodologies. The first one is obtained from a single-objective optimization problem, where the Initial Construction Cost was the objective to be minimized, while the second one as a two-objective optimization problem where the life-cycle Cost was the additional objective also to be minimized.

  • seismic design of rc structures a critical assessment in the framework of multi objective optimization
    Earthquake Engineering & Structural Dynamics, 2007
    Co-Authors: Nikos D. Lagaros, Manolis Papadrakakis
    Abstract:

    The assessment of seismic design codes has been the subject of intensive research work in an effort to reveal weak points that originated from the limitations in predicting with acceptable precision the response of the structures under moderate or severe earthquakes. The objective of this work is to evaluate the European seismic design code, i.e. the Eurocode 8 (EC8), when used for the design of 3D reinforced concrete buildings, versus a performance-based design (PBD) procedure, in the framework of a multi-objective optimization concept. The Initial Construction Cost and the maximum interstorey drift for the 10/50 hazard level are the two objectives considered for the formulation of the multi-objective optimization problem. The solution of such optimization problems is represented by the Pareto front curve which is the geometric locus of all Pareto optimum solutions. Limit-state fragility curves for selected designs, taken from the Pareto front curves of the EC8 and PBD formulations, are developed for assessing the two seismic design procedures. Through this comparison it was found that a linear analysis in conjunction with the behaviour factor q of EC8 cannot capture the nonlinear behaviour of an RC structure. Consequently the corrected EC8 Pareto front curve, using the nonlinear static procedure, differs significantly with regard to the corresponding Pareto front obtained according to EC8. Furthermore, similar designs, with respect to the Initial Construction Cost, obtained through the EC8 and PBD formulations were found to exhibit different maximum interstorey drift and limit-state fragility curves. Copyright © 2007 John Wiley & Sons, Ltd.

Nikos D. Lagaros - One of the best experts on this subject based on the ideXlab platform.

  • life cycle Cost assessment of optimally designed reinforced concrete buildings under seismic actions
    Reliability Engineering & System Safety, 2011
    Co-Authors: Chara Ch Mitropoulou, Nikos D. Lagaros, Manolis Papadrakakis
    Abstract:

    Abstract Life-cycle Cost analysis (LCCA) is an assessment tool for studying the performance of systems in many fields of engineering. In earthquake engineering LCCA demands the calculation of the Cost components that are related to the performance of the structure in multiple earthquake hazard levels. Incremental static and dynamic analyses are two procedures that can be used for estimating the seismic capacity of a structural system and can therefore be incorporated into the LCCA methodology. In this work the effect of the analysis procedure, the number of seismic records imposed, the performance criterion used and the structural type (regular or irregular) is investigated, on the life-cycle Cost analysis of 3D reinforced concrete structures. Furthermore, the influence of uncertainties on the seismic response of structural systems and their impact on LCCA is examined. The uncertainty on the material properties, the cross-section dimensions and the record-incident angle is taking into account with the incorporation of the Latin hypercube sampling method into the incremental dynamic analysis procedure. In addition, the LCCA methodology is used as an assessment tool for the designs obtained by means of prescriptive and performance-based optimum design methodologies. The first one is obtained from a single-objective optimization problem, where the Initial Construction Cost was the objective to be minimized, while the second one as a two-objective optimization problem where the life-cycle Cost was the additional objective also to be minimized.

  • seismic design of rc structures a critical assessment in the framework of multi objective optimization
    Earthquake Engineering & Structural Dynamics, 2007
    Co-Authors: Nikos D. Lagaros, Manolis Papadrakakis
    Abstract:

    The assessment of seismic design codes has been the subject of intensive research work in an effort to reveal weak points that originated from the limitations in predicting with acceptable precision the response of the structures under moderate or severe earthquakes. The objective of this work is to evaluate the European seismic design code, i.e. the Eurocode 8 (EC8), when used for the design of 3D reinforced concrete buildings, versus a performance-based design (PBD) procedure, in the framework of a multi-objective optimization concept. The Initial Construction Cost and the maximum interstorey drift for the 10/50 hazard level are the two objectives considered for the formulation of the multi-objective optimization problem. The solution of such optimization problems is represented by the Pareto front curve which is the geometric locus of all Pareto optimum solutions. Limit-state fragility curves for selected designs, taken from the Pareto front curves of the EC8 and PBD formulations, are developed for assessing the two seismic design procedures. Through this comparison it was found that a linear analysis in conjunction with the behaviour factor q of EC8 cannot capture the nonlinear behaviour of an RC structure. Consequently the corrected EC8 Pareto front curve, using the nonlinear static procedure, differs significantly with regard to the corresponding Pareto front obtained according to EC8. Furthermore, similar designs, with respect to the Initial Construction Cost, obtained through the EC8 and PBD formulations were found to exhibit different maximum interstorey drift and limit-state fragility curves. Copyright © 2007 John Wiley & Sons, Ltd.

Elena Enachepommer - One of the best experts on this subject based on the ideXlab platform.

  • variability of optimal solutions for building components based on comprehensive life cycle Cost analysis
    Energy and Buildings, 2014
    Co-Authors: Guiyuan Han, Jelena Srebric, Elena Enachepommer
    Abstract:

    Abstract Building energy contributes to a significant fraction of the total energy Cost during all processes of its life span. Buildings are dynamic, non-linear systems with a large number of components that strongly influence total building energy consumption. Therefore, it is challenging to find an optimal combination of building components to minimize the building life cycle Cost (LCC). This paper proposes a framework of building systems optimization designed to minimize life cycle Cost by combining optimization algorithms and a comprehensive building life cycle Cost model. A case study based on an office building demonstrates that annual energy Costs and Initial Construction Costs are major contributors to the whole building life cycle Cost. A case study of an office building shows that when the building lifespan is greater than 30 years, the cumulative annual energy consumption Cost is projected to be higher than the Initial Construction Cost. Finally, optimal component combinations vary with different lengths of a building's life span. For instance, wood window frames become the optimal component for less energy and maintenance Cost when the building lifespan changes from 14 to 60 years.

Chara Ch Mitropoulou - One of the best experts on this subject based on the ideXlab platform.

  • life cycle Cost assessment of optimally designed reinforced concrete buildings under seismic actions
    Reliability Engineering & System Safety, 2011
    Co-Authors: Chara Ch Mitropoulou, Nikos D. Lagaros, Manolis Papadrakakis
    Abstract:

    Abstract Life-cycle Cost analysis (LCCA) is an assessment tool for studying the performance of systems in many fields of engineering. In earthquake engineering LCCA demands the calculation of the Cost components that are related to the performance of the structure in multiple earthquake hazard levels. Incremental static and dynamic analyses are two procedures that can be used for estimating the seismic capacity of a structural system and can therefore be incorporated into the LCCA methodology. In this work the effect of the analysis procedure, the number of seismic records imposed, the performance criterion used and the structural type (regular or irregular) is investigated, on the life-cycle Cost analysis of 3D reinforced concrete structures. Furthermore, the influence of uncertainties on the seismic response of structural systems and their impact on LCCA is examined. The uncertainty on the material properties, the cross-section dimensions and the record-incident angle is taking into account with the incorporation of the Latin hypercube sampling method into the incremental dynamic analysis procedure. In addition, the LCCA methodology is used as an assessment tool for the designs obtained by means of prescriptive and performance-based optimum design methodologies. The first one is obtained from a single-objective optimization problem, where the Initial Construction Cost was the objective to be minimized, while the second one as a two-objective optimization problem where the life-cycle Cost was the additional objective also to be minimized.

Minaei Mahsa - One of the best experts on this subject based on the ideXlab platform.

  • Performance-Based Facade Design: New Approach for Multi-Objective and Automated Simulation and Optimization
    SelectedWorks, 2020
    Co-Authors: Minaei Mahsa, Aksamija Ajla
    Abstract:

    Buildings have a considerable impact on the environment, and it is crucial to consider environmental and energy performance in building design. Buildings account for about 40% of the global energy consumption and contribute over 30% of the carbon dioxide emissions. A large proportion of this energy is used for meeting occupants’ thermal comfort in buildings, followed by lighting. The building facade forms a barrier between the exterior and interior environments, therefore it has a crucial role in improving energy efficiency and building performance.In this regard, decision-makers are required to establish an optimal solution, considering multi-objective problems that are usually competitive and nonlinear, such as energy consumption, financial Costs, environmental performance, occupant comfort, etc. Sustainable building design requires considerations of a large number of design variables and multiple, often conflicting objectives, such as the Initial Construction Cost, energy Cost, energy consumption and occupant satisfaction. One approach to address these issues is the use of building performance simulations and optimization methods.This paper presents a novel method for improving building facade performance, taking into consideration occupant comfort, energy consumption and energy Costs. The paper discusses development of a framework, which is based on multi-objective optimization and uses a genetic algorithm in combination with building performance simulations. The framework utilizes EnergyPlus simulation engine and Python programming to implement optimization algorithm analysis and decision support. The framework enhances the process of performance-based facade design, couples simulation and optimization packages, and provides flexible and fast supplements in facade design process by rapid generation of design alternatives

  • Performance-Based Facade Framework Automated and Multi-Objective Simulation and Optimization
    SelectedWorks, 2020
    Co-Authors: Minaei Mahsa, Aksamija Ajla
    Abstract:

    Buildings have a considerable impact on the environment, and it is crucial to consider environmental and energy performance in building design. Buildings account for about 40% of the global energy consumption and contribute over 30% of the carbon dioxide emissions. A large proportion of this energy is used for meeting occupants’ thermal comfort in buildings, followed by lighting. The building facade forms a barrier between the exterior and interior environments, therefore it has a crucial role in improving energy efficiency and building performance. In this regard, decision-makers are required to establish an optimal solution, considering multi-objective problems that are usually competitive and nonlinear, such as energy consumption, financial Costs, environmental performance, occupant comfort, etc. Sustainable building design requires considerations of a large number of design variables and multiple, often conflicting objectives, such as the Initial Construction Cost, energy Cost, energy consumption and occupant satisfaction. One approach to address these issues is the use of building performance simulations and optimization methods.This paper presents a novel method for improving building facade performance, taking into consideration occupant comfort, energy consumption and energy Costs. The paper discusses development of a framework, which is based on multi-objective optimization and uses a genetic algorithm in combination with building performance simulations. The framework utilizes EnergyPlus simulation engine and Python programming to implement optimization algorithm analysis and decision support. The framework enhances the process of performance-based facade design, couples simulation and optimization packages, and provides flexible and fast supplement in facade design process by rapid generation of design alternatives

  • A FRAMEWORK FOR PERFORMANCE-BASED FACADE DESIGN: APPROACH FOR AUTOMATED AND MULTI-OBJECTIVE SIMULATION AND OPTIMIZATION
    ScholarWorks@UMass Amherst, 2020
    Co-Authors: Minaei Mahsa
    Abstract:

    Buildings have a considerable impact on the environment, and it is crucial to consider environmental and energy performance in building design. Buildings account for about 40% of the global energy consumption and contribute over 30% of the CO2 emissions. A large proportion of this energy is used for meeting occupants’ thermal comfort in buildings, followed by lighting. The building facade forms a barrier between the exterior and interior environments; therefore, it has a crucial role in improving energy efficiency and building performance. In this regard, decision-makers are required to establish an optimal solution, considering multi-objective problems that are usually competitive and nonlinear, such as energy consumption, financial Costs, environmental performance, occupant comfort, etc. Sustainable building design requires considerations of a large number of design variables and multiple, often conflicting objectives, such as the Initial Construction Cost, energy Cost, energy consumption and occupant satisfaction. One approach to address these issues is the use of building performance simulations and optimization methods. This research first investigates and highlights the key research methods, issues and tools associated with building performance simulations and the optimization methods. Then a novel method for improving building facade performance is presented, taking into consideration occupant comfort, energy consumption and energy Costs. The dissertation discusses development of a framework, which is based on multi-objective optimization and uses a genetic algorithm in combination with building performance simulations. The framework utilizes EnergyPlus simulation engine and Python programming to implement optimization algorithm analysis and decision support. The framework enhances the process of performance-based facade design, couples simulation and optimization packages, and provides flexible and fast supplement in facade design process by rapid generation of design alternatives. The dissertation describes the components and functionality of this framework in detail, as well as two-step optimization technique which is a new technique that combines GA and machine learning. The dissertation also presents results and validation techniques and provides conclusions of the study