Abstract

The design of new buildings, and even more the rehabilitation of existing ones, needs to satisfy modern criteria in terms of energy efficiency and environmental performance, within the context of adequate safety requirements. Tackling all these needs at the same time is cumbersome, as demonstrated by several experiences during recent earthquakes, where the improvement of energy performance vanished by seismic-induced damages. The costs of energy retrofitting must be added to the normal losses caused by the earthquake. Even though the minimum safety requirements are met (no collapse), the damage due to earthquake might be enough to waste the investment made to improve energy efficiency. Since these measures are often facilitated by corresponding incentives, the use of public funding is not cost effective. The application of the existing impact assessment methods is typically performed at the end of the architectural and structural design process. Thus, no real optimisation can be achieved, because a good structural solution could correspond to a poor environmental performance and vice versa. The proposed Sustainable Structural Design method (SSD) considers both environmental and structural parameters in the life cycle perspective. The integration of environmental data in the structural performance is the focus of the method. Structural performances are considered in a probabilistic approach, through the introduction of a simplified Performance Based Assessment method. Finally, the SSD method is implemented with a case-study of an office-occupancy building, both for precast and cast-in-situ structural systems, with the aim to find the best solution in terms of sustainability and structural performance for the case at hand.

Highlights

  • Sixty per cent of residential buildings of the EU stock will be 50 years old in 2021: the highest rate will be recorded in Italy with 79% [1]

  • The Sustainable Structural Design (SSD) method is conceived as a supporting tool for the general process of building design that takes into account technical-structural aspects along with environmental ones during the life cycle of the structure

  • The output of the analysis determines the cost of the structure together with expected losses for each defined limit state, corresponding to different peak ground accelerations (PGAs) and inter-storey drifts ratios (IDRs) [5]

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Summary

Introduction

Sixty per cent of residential buildings of the EU stock will be 50 years old in 2021: the highest rate will be recorded in Italy with 79% [1]. A new interdisciplinary approach calls for a common language to share data and rules among different practitioners and users involved in the building process; to this end, common taxonomy, semantic and metric are crucial [3] To reach these targets, a new avant garde way to conceive structures is needed. Whereas safety is part of society’s pillar and energy efficiency is part of environmental pillar, the optimisation of each of these areas must take into account the third pillar of sustainability: economy To this end, the Sustainable Structural Design method (SSD). Considers both environmental and structural parameters in a life cycle perspective, comparing them, to each other and with other issues, in economic terms In this light, the SSD method, hereinafter presented, could be the solution to design constructions, considering all buildings requirements in a holistic way [5]. Afterwards, the application of the method to a case study is presented: a three-storey reinforced concrete building is evaluated in two different structural solutions (precast and cast-in-situ) to analyse and compare the results in terms of combined sustainability and structural performance

Environmental Issues in the Construction Sector
STEP I
STEP II
STEP III
STEP IV
Energy Performance into Monetary Unit
Environmental Performance into Monetary Unit
Significance of the Global Assessment Parameter RSSD
Example of Application
Description of the Building
Precast Structure
Cast-In-Situ Structure
Electricity Consumption
Heating Consumption
Simplified Performance-Based Assessment
Conversion of Energy Analysis into Monetary Unit
Conversion of Environmental Burden into Monetary Unit
Calculation of Global Assessment Parameter
Findings
Discussion
Conclusions
Full Text
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