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    Adobe constructions in the world: a first overview
    (Springer Nature, 2021-01-01)
    Adobe constructions date back thousands of years and are a significant fraction of the world’s built heritage, including UNESCO sites. Even though adobe dwellings are still built in some regions, a number of experimental and theoretical studies have delineated the vulnerability levels of these constructions. A significant concentration of adobe constructions in regions with moderate-to-high levels of seismic hazard has been observed as well, resulting in huge human losses during earthquakes. Therefore, the knowledge of the structural performance and seismic reinforcement of adobe constructions provides the basis for their structural vulnerability reduction, allowing disaster risk mitigation and community preparedness. This is also a strategic task to meet sustainability and community resilience goals in multiple countries, where guidelines for both existing and new adobe constructions must be implemented. This chapter provides readers with preliminary information on history, worldwide distribution, construction features and observed performance of adobe constructions for different demand scenarios. These topics are recalled and discussed in more detail in subsequent chapters.
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    A method to include life cycle assessment results in choosing by advantage (CBA) multicriteria decision analysis: a case study for seismic retrofit in Peruvian primary schools
    (MDPI AG, 2021-08-01)
    Building information modeling (BIM) is an emerging technology that improves visualization, understanding, and transparency in construction projects. Its use in Latin America and the Caribbean (LA&C), while still scarce, is developing in combination with multi-criteria decision-making (MCDM) methods, such as the choosing by advantages (CBA) method. Despite the holistic nature of MCDM methods, the inclusion of life cycle environmental metrics is lagging in construction projects in LA&C. However, recent studies point toward the need to optimize the synergies between BIM and life cycle assessment (LCA), in which a method like CBA could allow improving the quality of the decisions. Therefore, the main objective of this study is to integrate LCA and CBA methods to identify the effect that the inclusion of environmental impacts can have on decision-making in public procurement, as well as comparing how this final decision differs from an exclusively LCA-oriented interpretation of the results. Once the LCA was performed, a set of additional criteria for the CBA method were fixed, including transparency, technical, and social indicators. Thereafter, a stakeholder participative workshop was held in order to gather experts to elucidate on the final decision. The methodology was applied to a relevant construction sector problem modelled with BIM in the city of Lima (Peru), which consisted of three different construction techniques needed to retrofit educational institutions. Results from the LCA-oriented assessment, which was supported by Monte Carlo simulation, revealed a situation in which the masonry-based technique showed significantly lower environmental impacts than the remaining two options. However, when a wider range of technical, social, and transparency criteria are added to the environmental indicators, this low-carbon technique only prevailed in those workshop tables in which environmental experts were present and under specific computational assumptions, whereas teams with a higher proportion of government members were inclined to foster alternatives that imply less bureaucratic barriers. Finally, the results constitute an important milestone when it comes to including environmental factors in public procurement in LA&C.
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    Interdependent response of three critical infrastructures in a South American megacity
    (Institute of Physics, 2022-06-01)
    Critical infrastructures (CIs) are key for the functionality of urban areas. Their failure due to natural disasters or manmade disruptive events could severely obstruct normal city activities, producing considerable social and economic impacts. Understanding CI performance and interdependence during these events is imperative. This study aims to comprehend the independent and interdependent response of three CIs in a South American megacity: Lima, Peru. Topological indicators were used to study three CIs: potable water distribution, electricity distribution and natural gas distribution; five disruption scenarios were modeled. Results show that, compared to the other CIs, the potable water system has the highest redundancy, while the electricity network has the best capacity to connect among all elements. The structure of the natural gas system makes it fragile and susceptible to failures, generating the lowest values across indicators. Regarding the interdependence analysis, certain elements (e.g., medium- and high-voltage substations, water treatment plant, pressure stations) with a high degree of connectivity influence the entire performance of the systems; the interdependent effect exposes some CIs to damage more than others. Earthquakes have a comparatively more negative impact on the CIs studied than manmade disruptive events. In order to reduce vulnerability factors in the three systems, an important mitigation action would be to reduce the centralization of the systems.
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    Optimal humanitarian warehouses location considering vulnerability previous condition
    (Associacao Brasileira de Engenharia de Producao, 2022-03-07)
    Goal: This study tackles on location problem, analyzing the urban shape base on vulnerability previous conditions in affected areas. Design / Methodology / Approach: A numerical analysis is performed using an integer programming model to find optimal preposition warehouses location. Results: The minimum cost is reached when the needs of all the people affected by the natural disaster are met. Excess construction of warehouses implies additional maintenance and administration expenses, while lack of construction of warehouses implies expenses originated by unsatisfied demand. Limitations of the investigation: Among the main limitations found in this study were the lack of updated data and few studies related to natural disaster prevention in the case study. Practical implications: Organizations should implement the recommendations given by the new model. This is because the model minimizes the cost, since the damage caused by a natural disaster is much more expensive than preventing it. Originality / Value: The novelty in this study is the creation of a punishment factor based on the level of vulnerability of the routes used in transportation. This is to simulate the impact the deterioration of routes has on the response time of sending aid supplies.
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    Comparison of Strength-Assessment Methods for Shear-Critical Reinforced Concrete Rectangular Columns
    (American Concrete Institute, 2023-07-01)
    Shear failures are one of the most brittle modes of response in reinforced concrete columns subjected to earthquake-induced lateral drifts, notably if the failure occurs before the flexural strength is reached. Columns exhibiting this failure mode are termed shear-critical and are associated with the loss of the column’s axial load-carrying capacity. Using a database of tests on 38 large-sized rectangular and square columns that exhibited this mode of failure, this paper reviews 10 methods published in the literature and compares their predictive capabilities. This paper shows significant differences between the methods, with the methods in Pan and Li (2013) and ASCE/SEI 41-13 being assessed as the most accurate.