How to adapt existing building stock is a problem being addressed by local and state governments worldwide. In most developed countries we now spend more on building adaptation than on new construction and there is an urgent need for greater knowledge and awareness of what happens to commercial buildings over time. Sustainable Building Adaptation: Innovations in Decision-making is a significant contribution to understanding best practice in sustainable adaptations to existing commercial buildings by offering new knowledge-based theoretical and practical insights. Models used are grounded in…mehr
How to adapt existing building stock is a problem being addressed by local and state governments worldwide. In most developed countries we now spend more on building adaptation than on new construction and there is an urgent need for greater knowledge and awareness of what happens to commercial buildings over time. Sustainable Building Adaptation: Innovations in Decision-making is a significant contribution to understanding best practice in sustainable adaptations to existing commercial buildings by offering new knowledge-based theoretical and practical insights. Models used are grounded in results of case studies conducted within three collaborative construction project team settings in Australia and the Netherlands, and exemplars are drawn from the Americas, Asia, Japan, Korea, and Europe to demonstrate the application of the knowledge more broadly. Results clearly demonstrate that the new models can assist with informed decision-making in adaptation that challenges some of the prevailing solutions based on empirical approaches and which do not accommodate the sustainability dimension. The emphasis is on demonstrating how the new knowledge can be applied by practitioners to deliver professionally relevant outcomes. The book offers guidance towards a balanced approach that incorporates sustainable and optimal approaches for effective management of adaptation of existing commercial buildings.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Sara J. Wilkinson is Associate Professor of Property and Construction at the University of Technology, Sydney, Australia Hilde Remøy is Assistant Professor of Real Estate Management at Delft University of Technology, The Netherlands Craig Langston is Professor of Construction and Facilities Management at Bond University, Queensland, Australia
Inhaltsangabe
Preface ix Nomenclature xiii Chapter 1. Parametric Sensitivity of Damped Systems 1 1.1. Parametric sensitivity of undamped systems 2 1.1.1. Sensitivity of the eigenvalues 2 1.1.2. Sensitivity of the eigenvectors 3 1.2. Parametric sensitivity of viscously damped systems 5 1.2.1. Sensitivity of the eigenvalues 6 1.2.2. Sensitivity of the eigenvectors 9 1.3. Parametric sensitivity of non-viscously damped systems 22 1.3.1. Sensitivity of the eigenvalues 23 1.3.2. Sensitivity of the eigenvectors 25 1.4. Summary 41 Chapter 2. Identification of Viscous Damping 43 2.1. Identification of proportional viscous damping 44 2.1.1. Damping identification using generalized proportional damping 45 2.1.2. Error propagation in the damping identification method 48 2.1.3. Numerical examples 49 2.1.4. Experimental results 51 2.1.5. Synopsis 67 2.2. Identification of non-proportional viscous damping 69 2.2.1. The theory of damping identification 71 2.2.2. Numerical examples 75 2.2.3. Error analysis 88 2.2.4. Synopsis 90 2.3. Symmetry-preserving damping identification 91 2.3.1. The theory of symmetric damping matrix identification 91 2.3.2. Numerical examples 97 2.3.3. Synopsis 104 2.4. Direct identification of the damping matrix 104 2.4.1. The modified Lancaster's method 105 2.4.2. Numerical examples 111 2.4.3. Synopsis 117 2.5. Summary 118 Chapter 3. Identification of Non-viscous Damping 121 3.1. Identification of exponential non-viscous damping model 123 3.1.1. Background of complex modes 123 3.1.2. Fitting of the relaxation parameter 125 3.1.3. Fitting of the coefficient matrix 140 3.1.4. Synopsis 149 3.2. Symmetry preserving non-viscous damping identification 151 3.2.1. Theory 151 3.2.2. Numerical examples 155 3.2.3. Synopsis 159 3.3. Direct identification of non-viscous damping 160 3.3.1. Lancaster's method for non-viscously damped systems 161 3.3.2. Numerical examples 165 3.3.3. Synopsis 167 3.4. Summary 168 Chapter 4. Quantification of Damping 169 4.1. Quantification of non-proportional damping 169 4.1.1. Optimal normalization of complex modes 171 4.1.2. An index of non-proportionality 182 4.1.3. Alternative normalization methods 187 4.1.4. Synopsis 193 4.2. Quantification of non-viscous damping 193 4.2.1. Non-viscosity indices 195 4.2.2. Numerical examples 203 4.2.3. Error analysis 208 4.2.4. Synopsis 211 4.3. Summary 211 Bibliography 213 Author Index 243 Index 245
