Resilient communities through safer schools

Abstract Access to education is a basic human right. It is the 4th of the 17 Sustainable Development Goals (SDGs) and education is strongly associated with poverty reduction. Providing facilities to educate children requires construction of school buildings and rapid expansion of curricula. However, in the rush to fulfil the right to education, are children being put at risk? What attention is being given to structural safety during the construction of new school facilities? The growing consensus among stakeholders is that public school infrastructure in developing countries worldwide is particularly susceptible to natural hazards. This highlights a compelling need for developing and implementing effective, integrated, and ‘ground-real’ strategies for assessing and radically improving the safety and resilience of schools across those countries. To this aim, the paper explores two main issues: effectiveness at scale and the relevance of multiple hazard effects on the resilience of school infrastructure. Specifically, the paper first discusses the challenges associated with the World Bank Global Program for Safer School (GPSS) and the development of its Global Library of School Infrastructure (GLOSI), highlighting the issues associated with producing a tool which can be effective at scale and support nationwide risk models for school infrastructure across the world, so that fairness and relevance of investment can be achieved. This is followed by the illustration of a number of specific tools developed by the authors to expand the risk prioritization procedures used for seismic hazard, to other hazards such as flood and windstorm and to quantify the reduction in seismic fragility obtained by implementing specific strengthening strategies. Rapid visual survey forms, a mobile app, a multi-hazard risk prioritization ranking, and numerical fragility relationships are presented and their application discussed in relation to a case study in the Philippines. The proposed tools represent a first step toward a detailed multi-hazard risk and resilience assessment framework of school infrastructure. The aim is to allow stakeholders and decision-makers to quickly identify the most vulnerable structures among the surveyed stock, to guide more detailed data collection campaigns and structural assessment procedures, such as analytical vulnerability approaches, and ultimately to plan further retrofitting/strengthening measures or, if necessary, school replacement/relocation.

[1]  Peter Fajfar,et al.  A Nonlinear Analysis Method for Performance-Based Seismic Design , 2000 .

[2]  P. Earle,et al.  Earthquake Casualty Models Within the USGS Prompt Assessment of Global Earthquakes for Response (PAGER) System , 2011 .

[3]  H. Varum,et al.  Experimental Comparison of Novel CFRP Retrofit Schemes for Realistic Full-Scale RC Beam–Column Joints , 2018, Journal of Composites for Construction.

[4]  Carmine Galasso,et al.  From rapid visual survey to multi-hazard risk prioritisation and numerical fragility of school buildings in Banda Aceh, Indonesia , 2019 .

[5]  C. Allin Cornell,et al.  Earthquakes, Records, and Nonlinear Responses , 1998 .

[6]  Jack W. Baker,et al.  Efficient Analytical Fragility Function Fitting Using Dynamic Structural Analysis , 2015 .

[7]  C. David,et al.  The Change in Rainfall from Tropical Cyclones Due to Orographic Effect of the Sierra Madre Mountain Range in Luzon, Philippines , 2017 .

[8]  A. Kiremidjian,et al.  Statistical procedures for developing earthquake damage fragility curves , 2015 .

[9]  Stephanie L. Walkup,et al.  Guide for the Design and Construction of Externally Bonded FRP Systems for Strengthening Concrete Structures (ACI 440.2R-02) , 2005 .

[10]  L. Lorenzis,et al.  Comparative Study of Models on Confinement of Concrete Cylinders with Fiber-Reinforced Polymer Composites , 2003 .

[11]  Gerardo M. Verderame,et al.  Damage scenarios for RC buildings during the 2012 Emilia (Italy) earthquake , 2014 .

[12]  D. D’Ayala,et al.  APPLIED ELEMENT MODELLING AND PUSHOVER ANALYSIS OF UNREINFORCED MASONRY BUILDINGS WITH FLEXIBLE ROOF DIAPHRAGM , 2019, Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2015).

[13]  T. Rossetto,et al.  Observations from the EEFIT-TDMRC Mission to Sulawesi, Indonesia to Investigate the 28th September 2018 Central Sulawesi Earthquake , 2019 .

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

[15]  Carmine Galasso,et al.  From rapid visual survey to multi-hazard risk prioritisation and numerical fragility of school buildings , 2019, Natural Hazards and Earth System Sciences.

[16]  Miguel Esteban,et al.  Statistics of tropical cyclone landfalls in the Philippines: unusual characteristics of 2013 Typhoon Haiyan , 2015, Natural Hazards.

[17]  Tao Liu,et al.  Fundamental Principles That Govern Retrofitting of Reinforced Concrete Columns by Steel and FRP Jacketing , 2006 .

[18]  Andrea Prota,et al.  Local Strengthening of Reinforced Concrete Structures as a Strategy for Seismic Risk Mitigation at Regional Scale , 2015 .

[19]  Tiziana Rossetto,et al.  FRACAS: A capacity spectrum approach for seismic fragility assessment including record-to-record variability , 2016 .

[20]  Francesco Dottori,et al.  INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis , 2016 .

[21]  N. Null Seismic Evaluation and Retrofit of Existing Buildings , 2014 .

[22]  Dina D'Ayala,et al.  A new approach to flood vulnerability assessment for historic buildings in England , 2014 .

[23]  Ryuichi Yatabe,et al.  Public School Earthquake Safety Program in Nepal , 2014 .

[24]  D. D’Ayala,et al.  A procedure for the identification of the seismic vulnerability at territorial scale. Application to the Casbah of Algiers , 2014, Bulletin of Earthquake Engineering.

[25]  David J. Wald,et al.  Developing Empirical Collapse Fragility Functions for Global Building Types , 2011 .

[26]  Julian J. Bommer,et al.  A Prioritization Scheme for Seismic Intervention in School Buildings in Italy , 2007 .

[27]  Dina D'Ayala,et al.  Definition of Collapse Mechanisms and Seismic Vulnerability of Historic Masonry Buildings , 2003 .

[28]  D. D’Ayala,et al.  STRUCTURAL CLASSIFICATION SYSTEM FOR LOAD BEARING MASONRY SCHOOL BUILDINGS , 2018 .

[29]  Isaias S. Sealza,et al.  Recovering from the Effects of Natural Disaster: The Case of Urban Cagayan de Oro, Philippines , 2014 .

[30]  D. Wald,et al.  Creating a Global Building Inventory for Earthquake Loss Assessment and Risk Management , 2008 .

[31]  Luis E. Yamin,et al.  Probabilistic seismic vulnerability assessment of buildings in terms of economic losses , 2017 .

[32]  Nicola Casagli,et al.  Assessing the safety of schools affected by geo-hydrologic hazards: The geohazard safety classification (GSC) , 2016 .

[33]  L. Tan,et al.  Development of Empirical Wind Vulnerability Curves of School Buildings Damaged by the 2016 Typhoon Nina , 2018 .