Probabilistic Life-Cycle Assessment of Service Life Extension on Renovated Buildings under Seismic Hazard

Existing buildings can reach a performance enhancement and extend their nominal service life through renovation measures such as seismic rehabilitation. In particular, when buildings have almost exhausted their service life, seeking an optimal solution should consider whether costs and environmental effects are worthwhile, or new construction is preferred. In this paper, a methodology to consider seismic hazard into probabilistic approaches for life-cycle analyses is presented considering the possibility of structural enhancement over an extended building lifespan. A life-cycle-based decision support tool for building renovation measures is developed and applied to a selected case study. Unlike standard “static” analyses, which in this work show shortcomings by underestimating impacts of vulnerable buildings, such an approach brings out environmental and economic advantages of retrofit measures designed to improve the structural performance.

[1]  A. S. Alnuaimi,et al.  Causes, Effects, Benefits, and Remedies of Change Orders on Public Construction Projects in Oman , 2010 .

[2]  Fernando A. Branco,et al.  Service life prediction of façade paint coatings in old buildings , 2012 .

[3]  Khalid M. Mosalam,et al.  PEER Performance-Based Earthquake Engineering Methodology, Revisited , 2013 .

[4]  Gian Michele Calvi,et al.  Developing Direct Displacement-Based Procedures for Simplified Loss Assessment in Performance-Based Earthquake Engineering , 2014 .

[5]  M. Margni,et al.  Uncertainty and spatial variability in characterization factors for aquatic acidification at the global scale , 2014, The International Journal of Life Cycle Assessment.

[6]  Enrico Benetto,et al.  How to treat uncertainties in life cycle assessment studies? , 2019, The International Journal of Life Cycle Assessment.

[7]  Mark A J Huijbregts,et al.  Quantifying the trade-off between parameter and model structure uncertainty in life cycle impact assessment. , 2013, Environmental science & technology.

[8]  M. Agung Wibowo,et al.  Analysis of Factors Affecting Design Changes in Construction Project with Partial Least Square (PLS) , 2015 .

[9]  Shih-Tong Lu,et al.  Statistical analysis of causes for change orders in metropolitan public works , 2004 .

[10]  Mojtaba Ziyadi,et al.  Model uncertainty analysis using data analytics for life-cycle assessment (LCA) applications , 2018, The International Journal of Life Cycle Assessment.

[11]  Mark A. J. Huijbregts,et al.  Part II: Dealing with parameter uncertainty and uncertainty due to choices in life cycle assessment , 1998 .

[12]  Melissa M. Bilec,et al.  Comparative whole-building life cycle assessment of renovation and new construction , 2019, Building and Environment.

[13]  C. Cornell.  Engineering seismic risk analysis , 1968 .

[14]  Anna Björklund,et al.  Survey of approaches to improve reliability in lca , 2002 .

[15]  Marco Di Ludovico,et al.  Life-Cycle Assessment of Seismic Retrofit Strategies Applied to Existing Building Structures , 2016 .

[16]  Mark A. J. Huijbregts,et al.  Application of uncertainty and variability in LCA , 1998 .

[17]  Andrea Belleri,et al.  Does seismic risk affect the environmental impact of existing buildings , 2016 .

[18]  Troy R. Hawkins,et al.  Hybrid Framework for Managing Uncertainty in Life Cycle Inventories , 2009 .

[19]  Maria Teresa De Risi,et al.  Evaluation of Repair Costs for Masonry Infills in RC Buildings from Observed Damage Data: the Case-Study of the 2009 L’Aquila Earthquake , 2019, Buildings.

[20]  Johan Braet,et al.  Life cycle assessment in the construction sector: A review , 2013 .