The Experts below are selected from a list of 288 Experts worldwide ranked by ideXlab platform

Henri P Gavin - One of the best experts on this subject based on the ideXlab platform.

  • smart base isolated benchmark building part i Problem Definition
    Structural Control & Health Monitoring, 2006
    Co-Authors: Sriram Narasimhan, Satish Nagarajaiah, Erik A Johnson, Henri P Gavin
    Abstract:

    This paper presents the benchmark Problem Definition for seismically excited base-isolated buildings. The objective of this benchmark study is to provide a well-defined base-isolated building with a broad set of carefully chosen parameter sets, performance measures and guidelines to the participants, so that they can evaluate their control algorithms. The control algorithms may be passive, active or semi-active. The benchmark structure considered is an eight-storey base-isolated building similar to existing buildings in Los Angeles, California. The base isolation system includes both linear and nonlinear bearings and control devices. The superstructure is considered to be a linear elastic system with lateral–torsional behavior. A new nonlinear dynamic analysis program has been developed and made available to facilitate direct comparison of results of different control algorithms. Copyright © 2005 John Wiley & Sons, Ltd.

  • Smart base‐isolated benchmark building. Part I: Problem Definition
    Structural Control and Health Monitoring, 2006
    Co-Authors: Sriram Narasimhan, Satish Nagarajaiah, Erik A Johnson, Henri P Gavin
    Abstract:

    This paper presents the benchmark Problem Definition for seismically excited base-isolated buildings. The objective of this benchmark study is to provide a well-defined base-isolated building with a broad set of carefully chosen parameter sets, performance measures and guidelines to the participants, so that they can evaluate their control algorithms. The control algorithms may be passive, active or semi-active. The benchmark structure considered is an eight-storey base-isolated building similar to existing buildings in Los Angeles, California. The base isolation system includes both linear and nonlinear bearings and control devices. The superstructure is considered to be a linear elastic system with lateral–torsional behavior. A new nonlinear dynamic analysis program has been developed and made available to facilitate direct comparison of results of different control algorithms. Copyright © 2005 John Wiley & Sons, Ltd.

Sriram Narasimhan - One of the best experts on this subject based on the ideXlab platform.

  • smart base isolated benchmark building part i Problem Definition
    Structural Control & Health Monitoring, 2006
    Co-Authors: Sriram Narasimhan, Satish Nagarajaiah, Erik A Johnson, Henri P Gavin
    Abstract:

    This paper presents the benchmark Problem Definition for seismically excited base-isolated buildings. The objective of this benchmark study is to provide a well-defined base-isolated building with a broad set of carefully chosen parameter sets, performance measures and guidelines to the participants, so that they can evaluate their control algorithms. The control algorithms may be passive, active or semi-active. The benchmark structure considered is an eight-storey base-isolated building similar to existing buildings in Los Angeles, California. The base isolation system includes both linear and nonlinear bearings and control devices. The superstructure is considered to be a linear elastic system with lateral–torsional behavior. A new nonlinear dynamic analysis program has been developed and made available to facilitate direct comparison of results of different control algorithms. Copyright © 2005 John Wiley & Sons, Ltd.

  • Smart base‐isolated benchmark building. Part I: Problem Definition
    Structural Control and Health Monitoring, 2006
    Co-Authors: Sriram Narasimhan, Satish Nagarajaiah, Erik A Johnson, Henri P Gavin
    Abstract:

    This paper presents the benchmark Problem Definition for seismically excited base-isolated buildings. The objective of this benchmark study is to provide a well-defined base-isolated building with a broad set of carefully chosen parameter sets, performance measures and guidelines to the participants, so that they can evaluate their control algorithms. The control algorithms may be passive, active or semi-active. The benchmark structure considered is an eight-storey base-isolated building similar to existing buildings in Los Angeles, California. The base isolation system includes both linear and nonlinear bearings and control devices. The superstructure is considered to be a linear elastic system with lateral–torsional behavior. A new nonlinear dynamic analysis program has been developed and made available to facilitate direct comparison of results of different control algorithms. Copyright © 2005 John Wiley & Sons, Ltd.

Satish Nagarajaiah - One of the best experts on this subject based on the ideXlab platform.

  • benchmark structural control Problem for a seismically excited highway bridge part i phase i Problem Definition
    Structural Control & Health Monitoring, 2009
    Co-Authors: Anil K Agrawal, Satish Nagarajaiah, Ping Tan, Jian Zhang
    Abstract:

    This paper presents the Problem Definition of the benchmark structural control Problem for the seismically excited highway bridge. The benchmark Problem is based on the newly constructed 91/5 highway over-crossing in southern California. The goal of this benchmark effort is to develop a standardized model of a highway bridge using which competing control strategies, including devices, algorithms and sensors, can be evaluated comparatively. To achieve this goal, a 3D finite-element model is developed in MATLAB to represent the complex behavior of the full-scale highway over-crossing. The nonlinear behavior of center columns and isolation bearings is considered in formulating the bilinear force–deformation relationship. The effect of soil–structure interaction is considered by modeling the interaction by equivalent spring and dashpot. The ground motions are considered to be applied simultaneously in two directions. A MATLAB-based nonlinear structural analysis tool has been developed and made available for nonlinear dynamic analysis. Control devices are assumed to be installed between the deck and the end abutments of the bridge. Evaluation criteria and control constraints are specified for the design of controllers. Passive, semi-active and active devices and algorithms can be used to study the benchmark model. The participants in this benchmark study are required to define their control devices, sensors and control algorithms, evaluate and report the results of their proposed control strategies. Copyright © 2009 John Wiley & Sons, Ltd.

  • smart base isolated benchmark building part i Problem Definition
    Structural Control & Health Monitoring, 2006
    Co-Authors: Sriram Narasimhan, Satish Nagarajaiah, Erik A Johnson, Henri P Gavin
    Abstract:

    This paper presents the benchmark Problem Definition for seismically excited base-isolated buildings. The objective of this benchmark study is to provide a well-defined base-isolated building with a broad set of carefully chosen parameter sets, performance measures and guidelines to the participants, so that they can evaluate their control algorithms. The control algorithms may be passive, active or semi-active. The benchmark structure considered is an eight-storey base-isolated building similar to existing buildings in Los Angeles, California. The base isolation system includes both linear and nonlinear bearings and control devices. The superstructure is considered to be a linear elastic system with lateral–torsional behavior. A new nonlinear dynamic analysis program has been developed and made available to facilitate direct comparison of results of different control algorithms. Copyright © 2005 John Wiley & Sons, Ltd.

  • Smart base‐isolated benchmark building. Part I: Problem Definition
    Structural Control and Health Monitoring, 2006
    Co-Authors: Sriram Narasimhan, Satish Nagarajaiah, Erik A Johnson, Henri P Gavin
    Abstract:

    This paper presents the benchmark Problem Definition for seismically excited base-isolated buildings. The objective of this benchmark study is to provide a well-defined base-isolated building with a broad set of carefully chosen parameter sets, performance measures and guidelines to the participants, so that they can evaluate their control algorithms. The control algorithms may be passive, active or semi-active. The benchmark structure considered is an eight-storey base-isolated building similar to existing buildings in Los Angeles, California. The base isolation system includes both linear and nonlinear bearings and control devices. The superstructure is considered to be a linear elastic system with lateral–torsional behavior. A new nonlinear dynamic analysis program has been developed and made available to facilitate direct comparison of results of different control algorithms. Copyright © 2005 John Wiley & Sons, Ltd.

Erik A Johnson - One of the best experts on this subject based on the ideXlab platform.

  • smart base isolated benchmark building part i Problem Definition
    Structural Control & Health Monitoring, 2006
    Co-Authors: Sriram Narasimhan, Satish Nagarajaiah, Erik A Johnson, Henri P Gavin
    Abstract:

    This paper presents the benchmark Problem Definition for seismically excited base-isolated buildings. The objective of this benchmark study is to provide a well-defined base-isolated building with a broad set of carefully chosen parameter sets, performance measures and guidelines to the participants, so that they can evaluate their control algorithms. The control algorithms may be passive, active or semi-active. The benchmark structure considered is an eight-storey base-isolated building similar to existing buildings in Los Angeles, California. The base isolation system includes both linear and nonlinear bearings and control devices. The superstructure is considered to be a linear elastic system with lateral–torsional behavior. A new nonlinear dynamic analysis program has been developed and made available to facilitate direct comparison of results of different control algorithms. Copyright © 2005 John Wiley & Sons, Ltd.

  • Smart base‐isolated benchmark building. Part I: Problem Definition
    Structural Control and Health Monitoring, 2006
    Co-Authors: Sriram Narasimhan, Satish Nagarajaiah, Erik A Johnson, Henri P Gavin
    Abstract:

    This paper presents the benchmark Problem Definition for seismically excited base-isolated buildings. The objective of this benchmark study is to provide a well-defined base-isolated building with a broad set of carefully chosen parameter sets, performance measures and guidelines to the participants, so that they can evaluate their control algorithms. The control algorithms may be passive, active or semi-active. The benchmark structure considered is an eight-storey base-isolated building similar to existing buildings in Los Angeles, California. The base isolation system includes both linear and nonlinear bearings and control devices. The superstructure is considered to be a linear elastic system with lateral–torsional behavior. A new nonlinear dynamic analysis program has been developed and made available to facilitate direct comparison of results of different control algorithms. Copyright © 2005 John Wiley & Sons, Ltd.

Hugh P. Possingham - One of the best experts on this subject based on the ideXlab platform.

  • mathematical Problem Definition for ecological restoration planning
    Ecological Modelling, 2010
    Co-Authors: Marissa F Mcbride, Jutta Burger, Yichin Fang, Megan Lulow, David Olson, Mike Oconnell, Kerrie A. Wilson, Hugh P. Possingham
    Abstract:

    Ecological restoration is an increasingly important tool for managing and improving highly degraded or altered environments. Faced with a large number of sites or ecosystems to restore, and a diverse array of restoration approaches, investments in ecological restoration must be prioritized. Nevertheless, there are relatively few examples of the systematic prioritization of restoration actions. The development of a general theory for ecological restoration that is sufficiently sophisticated and robust to account for the inherent complexity of restoration planning, and yet is flexible and adaptable to ensure applicability to a diverse array of restoration Problems is needed. In this paper we draw on principles from systematic conservation planning to explicitly formulate the ‘restoration prioritization Problem’. We develop a generalized theory for static and dynamic restoration planning Problems, and illustrate how the basic Problem formulation can be expanded to allow for many factors characteristic of restoration Problems, including spatial dependencies, the possibility of restoration failure, and the choice of multiple restoration techniques. We illustrate the applicability of our generic Problem Definition by applying it to a case study – restoration prioritization on The Irvine Ranch Natural Landmark in Southern California. Through this case study we illustrate how the Definition of the general restoration Problem can be extended to account for the specific constraints and considerations of an on-the-ground restoration Problem.

  • Mathematical Problem Definition for ecological restoration planning
    Ecological Modelling, 2010
    Co-Authors: Marissa F Mcbride, Jutta Burger, Yichin Fang, Megan Lulow, Kerrie A. Wilson, David F. Olson, Mike O’connell, Hugh P. Possingham
    Abstract:

    Ecological restoration is an increasingly important tool for managing and improving highly degraded or altered environments. Faced with a large number of sites or ecosystems to restore, and a diverse array of restoration approaches, investments in ecological restoration must be prioritized. Nevertheless, there are relatively few examples of the systematic prioritization of restoration actions. The development of a general theory for ecological restoration that is sufficiently sophisticated and robust to account for the inherent complexity of restoration planning, and yet is flexible and adaptable to ensure applicability to a diverse array of restoration Problems is needed. In this paper we draw on principles from systematic conservation planning to explicitly formulate the ‘restoration prioritization Problem’. We develop a generalized theory for static and dynamic restoration planning Problems, and illustrate how the basic Problem formulation can be expanded to allow for many factors characteristic of restoration Problems, including spatial dependencies, the possibility of restoration failure, and the choice of multiple restoration techniques. We illustrate the applicability of our generic Problem Definition by applying it to a case study – restoration prioritization on The Irvine Ranch Natural Landmark in Southern California. Through this case study we illustrate how the Definition of the general restoration Problem can be extended to account for the specific constraints and considerations of an on-the-ground restoration Problem. Copyright © 2010 Elsevier B.V. All rights reserved.