A Novel Contribution for Resilient Buildings. Theoretical Fragility Curves: Interaction between Energy and Structural Behavior for Reinforced Concrete Buildings

The paper introduces a new semi-probabilistic methodology for the definition of energy fragility curves suitable for a macro-classification of building stock inspired to and coupled with the widely adopted method of seismic fragility curves. The approach is applied to the reinforced concrete residential buildings of the Italian stock. Starting from a classification according to the climatic zone and the construction period, some reference buildings in terms of building envelope typologies have been defined and simulated by means of dynamic modeling tools. Then, cumulative distributions of the probability that the primary energy consumption for heating was comparable with certain threshold values are defined according to the climatic conditions expressed with the heating degree days, which constitute the intensity measure for the fragility curves. Finally, by focusing on the interaction points between structural and energetic aspects, it is shown how these curves can be useful for decision-makers with regards to definition of importance and or the level of intervention to be made to the building envelope for improving its seismic safety and the energy quality. Indeed, non-integrated interventions are more expensive and less efficient.

[1]  Gerardo Maria Mauro,et al.  The role of the occupant behavior in affecting the feasibility of energy refurbishment of residential buildings: Typical effective retrofits compromised by typical wrong habits , 2020 .

[2]  Filip Johnsson,et al.  A differentiated description of building-stocks for a georeferenced urban bottom-up building-stock model , 2016 .

[3]  R. Pernetti,et al.  Bottom-up building stock retrofit based on levelized cost of saved energy , 2020 .

[4]  Ralph Evins,et al.  Surrogate modelling for sustainable building design – A review , 2019, Energy and Buildings.

[5]  S. Lagomarsino,et al.  Macroseismic and mechanical models for the vulnerability and damage assessment of current buildings , 2006 .

[6]  Krushna Mahapatra,et al.  The Implications of Climate Zones on the Cost-Optimal Level and Cost-Effectiveness of Building Envelope Energy Renovation and Space Heat Demand Reduction , 2017 .

[7]  Upendra Rajapaksha,et al.  Environmental Heat Stress on Indoor Environments in Shallow, Deep and Covered Atrium Plan Form Office Buildings in Tropics , 2020 .

[8]  Shunichi Koshimura,et al.  A comparative study of empirical and analytical fragility functions for the assessment of tsunami building damage in Tumaco, Colombia , 2020 .

[9]  A Pomonis,et al.  Damage data analysis and vulnerability estimation following the August 14, 2003 Lefkada Island, Greece, Earthquake , 2011 .

[10]  D. Pohoryles,et al.  Energy performance of existing residential buildings in Europe: A novel approach combining energy with seismic retrofitting , 2020 .

[11]  Khaled Galal,et al.  Seismic Fragility Assessment and Resilience of Reinforced Masonry Flanged Wall Systems , 2020 .

[12]  Paola Lassandro,et al.  Lightweight geopolymer-based mortars for the structural and energy retrofit of buildings , 2020 .

[13]  Ilaria Ballarini,et al.  Energy refurbishment of the Italian residential building stock: energy and cost analysis through the application of the building typology , 2017 .

[14]  G. Orsini,et al.  New Developments in Seismic Risk Assessment in Italy , 2005 .

[15]  Ashley P. Thrall,et al.  Balancing energy efficiency and structural performance through multi-objective shape optimization: Case study of a rapidly deployable origami-inspired shelter , 2014 .

[16]  Andreas J. Kappos,et al.  A hybrid method for the vulnerability assessment of R/C and URM buildings , 2006 .

[17]  Abbie B. Liel,et al.  Vulnerability of reinforced-concrete-frame buildings and their occupants in the 2009 L'Aquila, Italy, earthquake , 2012 .

[18]  Rui Pinho,et al.  Simplified pushover-based vulnerability analysis for large-scale assessment of RC buildings , 2008 .

[19]  Khaled Galal,et al.  Development of Fragility Curves for Reinforced-Masonry Structural Walls with Boundary Elements , 2018 .

[20]  Christopher R. Iddon,et al.  The influence of hospital ward design on resilience to heat waves: An exploration using distributed lag models , 2015 .

[21]  Amanda L. Webb,et al.  Energy retrofits in historic and traditional buildings: A review of problems and methods , 2017 .

[22]  Anne S. Kiremidjian,et al.  Method for Probabilistic Evaluation of Seismic Structural Damage , 1996 .

[23]  Maria Rota,et al.  Processing Italian damage data to derive typological fragility curves , 2008 .

[24]  Paolo Ricci,et al.  Empirical fragility curves from damage data on RC buildings after the 2009 L’Aquila earthquake , 2017, Bulletin of Earthquake Engineering.

[25]  Vincenzo Manfredi,et al.  Seismic Strengthening and Energy Efficiency: Towards an Integrated Approach for the Rehabilitation of Existing RC Buildings , 2018 .

[26]  York Ostermeyer,et al.  Towards agent-based building stock modeling: Bottom-up modeling of long-term stock dynamics affecting the energy and climate impact of building stocks , 2020, Energy and Buildings.

[27]  Giuliano Dall'O',et al.  A methodology for the energy performance classification of residential building stock on an urban scale , 2012 .

[28]  Andreas J. Kappos.  An overview of the development of the hybrid method for seismic vulnerability assessment of buildings , 2016 .

[29]  G. Zuccaro,et al.  Seismic vulnerability assessment based on typological characteristics. The first level procedure “SAVE” , 2015 .

[30]  Mani Golparvar-Fard,et al.  Automated Diagnostics and Visualization of Potential Energy Performance Problems in Existing Buildings Using Energy Performance Augmented Reality Models , 2014, J. Comput. Civ. Eng..

[31]  Ricardo Monteiro,et al.  Development of Fragility Curves for Single-Column RC Italian Bridges Using Nonlinear Static Analysis , 2020 .

[32]  L. Gosselin,et al.  Understanding energy consumption in high-performance social housing buildings : a case study from Canada , 2018 .

[33]  Amr S. Elnashai,et al.  Derivation of vulnerability functions for European-type RC structures based on observational data , 2003 .

[34]  Usman Ali,et al.  A data-driven approach for multi-scale building archetypes development , 2019, Energy and Buildings.

[35]  Gokhan Pekcan,et al.  Analytical Fragility Curves for a Class of Horizontally Curved Box-Girder Bridges , 2018 .