Gustavo André Paneiro

Gustavo André Paneiro

Dep. of Mineral and Energy Resources Engineering, Instituto Superior Técnico, Lisbon, Lisboa, Portugal
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Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 June 2020 in Computational Geosciences
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LALeonardo Azevedo
Leonardo Azevedo
Gustavo André PaneiroGustavo André Paneiro
Gustavo André Paneiro
ASArthur Santos
Arthur Santos
ASAmilcar Soares
Amilcar Soares

21 October 2016 in Neural Computing and Applications
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Gustavo André PaneiroGustavo André Paneiro
Gustavo André Paneiro
FDF. O. Durão
F. O. Durão
MSMatilde Costa e Silva
Matilde Costa e Silva
PNP. Falcão Neves
P. Falcão Neves

1 October 2015 in Transportation Research Part D: Transport and Environment
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Journal Article
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Gustavo André PaneiroGustavo André Paneiro
Gustavo André Paneiro
FDF.O. Durão
F.O. Durão
MSMatilde Costa e Silva
Matilde Costa e Silva
PNP. Falcão Neves
P. Falcão Neves

1 June 2021 in Underground Space
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Gustavo André PaneiroGustavo André Paneiro
Gustavo André Paneiro
MRManuel Rafael
Manuel Rafael

9 November 2024 in Heritage
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RLRoberta Lobarinhas
Roberta Lobarinhas
Amélia DionísioAmélia Dionísio
Amélia Dionísio
Gustavo André PaneiroGustavo André Paneiro
Gustavo André Paneiro
Throughout history, natural stone has been a crucial building material due to its strength, durability, and aesthetic qualities. Today, it continues to be a valuable resource, representing both a cultural heritage asset and a significant economic material. However, the increasing frequency of heat waves and fires driven by climate change poses a growing threat to stone building materials. This paper reviews the scientific attention given to the effects of high temperatures on Global Heritage Stone Resources (GHSRs), an international classification designed to enhance the recognition and status of building stones. Through a systematic SCOPUS search with refined filtering criteria, the study aims to quantify the existing research on these heritage stones. The search applied the standardized lithotype terms from GHSR publications to ensure consistency, followed by the exclusion of irrelevant terms when identified. Additionally, a relevance filter was applied to restrict the number of articles per lithotype and ensure that only the most pertinent studies were considered. Key findings from the literature reveal that exposure to high temperatures (ranging from 200 °C to 900 °C) significantly affected the studied GHSRs, leading to thermal micro-fissuring, increased porosity, and changes in water absorption, which compromise the mechanical properties of the stones. Moreover, these conditions can result in irreversible chemical transformations, exacerbating the deterioration of cultural heritage assets. The study emphasizes the critical need for research to better understand how these stone materials behave when exposed to high temperatures. It also provides a relevant framework for future investigations aimed at predicting and mitigating the effects of external threats such as fires.

21 December 2022 in Applied Sciences
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YGYufan Gao
Yufan Gao
洪F洪贤 FU
洪贤 FU
XRXing Rong
Xing Rong
Gustavo André PaneiroGustavo André Paneiro
Gustavo André Paneiro
Accurate prediction of blasting vibration associated with tunnel engineering is essential to ensure the safety and stability of tunnel excavation and to prevent any damage or distress to adjacent existing tunnels. Based on the dimensional analysis principle, this paper deduces the classical Sadovsky formula, analyzes its limitations from a mathematical point of view, and proves the feasibility of using this principle to derive a prediction model of blasting vibration. On this basis, considering the influence factors of blasting vibration such as the rock density, delay initiation time, and number of free surfaces, a new prediction model that can simultaneously consider the influence of the vibration in near-field and far-field blasting is proposed, and its rationality is explained. Combined with a case study, comparative analysis, variance analysis, and Akaike information criterion, the results show that the new prediction model can effectively solve the difference in blasting vibration in different types of blast holes and different areas, and the calculated results are in better agreement with the monitoring data than is the Sadovsky formula. Overall, this study provides a new solution and reference for more accurate prediction of blasting vibration.