32 research outputs found

    Analysis of Soil Liquefaction Potential Through Three Field Tests-Based Methods: A Case Study of Babol City

    Get PDF
    During earthquakes, ground failure is commonly caused by liquefaction. Thus, assessment of soil liquefaction potential in earthquake-prone regions is a crucial step towards reducing earthquake hazard. Since Babol city in Iran country is located in a high seismic area, estimation of soil liquefaction potential is of great importance in this city. For this purpose, in the present research, using field-based methods and geotechnical data of 60 available boreholes in Babol, three liquefaction microzonation maps were provided. Finally, one comprehensive liquefaction microzonation map was presented for soil of Babol city. The obtained results in this paper are well in line with the previous investigations. The results indicate that application of different field tests in evaluation of liquefaction is necessary

    PB-JFT-23

    Get PDF

    Developing and applying the concept of Value of Information to optimise data collection strategies for seismic hazard assessment

    Get PDF
    In seismic hazard assessments the importance of knowing different input parameters accurately depends on their weight within the hazard model. Many aspects of such assessments require inputs based on knowledge and data from experts. When it comes to decisions about data collection, facility owners and seismic hazard analysts need to balance the possible added value brought by acquiring new data against the budget and time available for its collection. In other words, they need to answer the question “Is it worth paying to obtain this information?” Assessing the value of information (VoI) before data collection should lead to optimising the time and money that one is willing to invest. This thesis presents a method that combines available data and expert judgment to facilitate the decision-making process within the site-response component of seismic hazard assessments. The approach integrates influence diagrams and decision trees to map the causal-relationships between input parameters in site-response analysis, and Bayesian inference to update the model when new evidence is considered. Here, the VoI is assessed for univariate, bivariate and multivariate uncertain parameters to infer an optimal seismic design for typical buildings and critical facilities. For the first time in the field of seismic hazard assessment and earthquake engineering, a framework is developed to integrate prior knowledge, ground investigation techniques characteristics and design safety requirements. The consistent findings across different applications show that VoI is highly sensitive to prior probabilities and to the accuracy of the test to be performed. This highlights the importance of defining those from available data as well as only considering tests that are suitable for our needs and budget. The developed VoI framework constitutes a useful decision-making tool for hazard analysts and facility owners, enabling not only the prioritisation of data collection for key input parameters and the identification of optimal tests, but also the justification of the associated decisions. This approach can enhance the accuracy and reliability of seismic hazard assessments, leading to more effective risk management strategies.In seismic hazard assessments the importance of knowing different input parameters accurately depends on their weight within the hazard model. Many aspects of such assessments require inputs based on knowledge and data from experts. When it comes to decisions about data collection, facility owners and seismic hazard analysts need to balance the possible added value brought by acquiring new data against the budget and time available for its collection. In other words, they need to answer the question “Is it worth paying to obtain this information?” Assessing the value of information (VoI) before data collection should lead to optimising the time and money that one is willing to invest. This thesis presents a method that combines available data and expert judgment to facilitate the decision-making process within the site-response component of seismic hazard assessments. The approach integrates influence diagrams and decision trees to map the causal-relationships between input parameters in site-response analysis, and Bayesian inference to update the model when new evidence is considered. Here, the VoI is assessed for univariate, bivariate and multivariate uncertain parameters to infer an optimal seismic design for typical buildings and critical facilities. For the first time in the field of seismic hazard assessment and earthquake engineering, a framework is developed to integrate prior knowledge, ground investigation techniques characteristics and design safety requirements. The consistent findings across different applications show that VoI is highly sensitive to prior probabilities and to the accuracy of the test to be performed. This highlights the importance of defining those from available data as well as only considering tests that are suitable for our needs and budget. The developed VoI framework constitutes a useful decision-making tool for hazard analysts and facility owners, enabling not only the prioritisation of data collection for key input parameters and the identification of optimal tests, but also the justification of the associated decisions. This approach can enhance the accuracy and reliability of seismic hazard assessments, leading to more effective risk management strategies

    New Perspectives in the Definition/Evaluation of Seismic Hazard through Analysis of the Environmental Effects Induced by Earthquakes

    Get PDF
    The devastating effects caused by the recent catastrophic earthquakes that took place all over the world from Japan, New Zealand, to Chile, as well as those occurring in the Mediterranean basin, have once again shown that ground motion, although a serious source of direct damage, is not the only parameter to be considered, with most damage being the result of coseismic geological effects that are directly connected to the earthquake source or caused by ground shaking. The primary environmental effects induced by earthquakes as well as the secondary effects (sensu Environmental Seismic Intensity - ESI 2007 scale) must be considered for a more correct and complete evaluation of seismic hazards, at both regional and local scales. This Special Issue aims to collect all contributions that, using different methodologies, integrate new data produced with multi-disciplinary and innovative methods. These methodologies are essential for the identification and characterization of seismically active areas, and for the development of new hazard models, obtained using different survey techniques. The topic attracted a lot of interest, 19 peer-reviewed articles were collected; moreover, different areas of the world have been analyzed through these methodologies: Italy, USA, Spain, Australia, Ecuador, Guatemala, South Korea, Kyrgyzstan, Mongolia, Russia, China, Japan, and Nepal

    Georisks in the Mediterranean and their mitigation

    Get PDF
    An international scientific conference organised by the Seismic Monitoring and Research Unit, Department of Geoscience, Faculty of Science, Department of Civil and Structural Engineering and Department of Construction and Property Management, Faculty of the Built Environment, University of Malta.Part of the SIMIT project: Integrated civil protection system for the Italo-Maltese cross-border area. Italia-Malta Programme – Cohesion Policy 2007-2013This conference is one of the activities organised within the SIMIT strategic project (Integrated Cross-Border Italo-Maltese System of Civil Protection), Italia-Malta Operational Programme 2007 – 2013. SIMIT aims to establish a system of collaboration in Civil Protection procedures and data management between Sicilian and Maltese partners, so as to guarantee the safety and protection of the citizens and infrastructure of the cross-border area. It is led by the Department of Civil Protection of the Sicilian region, and has as other partners the Department of Civil Protection of Malta and the Universities of Palermo, Catania and Malta. SIMIT was launched in March 2013, and will come to a close in October 2015. Ever since the initial formulation of the project, it has been recognised that a state of national preparedness and correct strategies in the face of natural hazards cannot be truly effective without a sound scientific knowledge of the hazards and related risks. The University of Malta, together with colleagues from other Universities in the project, has been contributing mostly to the gathering and application of scientific knowledge, both in earthquake hazard as well as in building vulnerability. The issue of seismic hazard in the cross-border region has been identified as deserving foremost importance. South-East Sicily in particular has suffered on more than one occasion the effects of large devastating earthquakes. Malta, although fortunately more removed from the sources of such large earthquakes, has not been completely spared of their damaging effects. The drastic increase in the building density over recent decades has raised the level of awareness and concern of citizens and authorities about our vulnerability. These considerations have spurred scientists from the cross-border region to work together towards a deeper understanding of the underlying causes and nature of seismic and associated hazards, such as landslide and tsunami. The SIMIT project has provided us with the means of improving earthquake surveillance and analysis in the Sicily Channel and further afield in the Mediterranean, as well as with facilities to study the behaviour of our rocks and buildings during earthquake shaking. The role of the civil engineering community in this endeavour cannot be overstated, and this is reflected in the incorporation, from the beginning, of the civil engineering component in the SIMIT project. Constructing safer buildings is now accepted to be the major option towards human loss mitigation during strong earthquakes, and this project has provided us with a welcome opportunity for interaction between the two disciplines. Finally the role of the Civil Protection authorities must occupy a central position, as we recognize the importance of their prevention, coordination and intervention efforts, aided by the input of the scientific community. This conference brings together a diversity of geoscientists and engineers whose collaboration is the only way forward to tackling issues and strategies for risk mitigation. Moreover we welcome the contribution of participants from farther afield than the Central Mediterranean, so that their varied experience may enhance our efforts. We are proud to host the conference in the historic city of Valletta, in the heart of the Mediterranean, which also serves as a constant reminder of the responsibility of all regions to protect and conserve our collective heritage.peer-reviewe

    Conception, verification and application of innovative techniques to study active volcanoes

    Get PDF

    Proceedings Of The 18th Annual Meeting Of The Asia Oceania Geosciences Society (Aogs 2021)

    Get PDF
    The 18th Annual Meeting of the Asia Oceania Geosciences Society (AOGS 2021) was held from 1st to 6th August 2021. This proceedings volume includes selected extended abstracts from a challenging array of presentations at this conference. The AOGS Annual Meeting is a leading venue for professional interaction among researchers and practitioners, covering diverse disciplines of geosciences

    Framework of damage detection in vehicle-bridge coupled system and application to bridge scour monitoring

    Get PDF
    Most vibration-based damage identification methods make use of measurements directly from bridge structures with attached sensors. However, the vehicle moving on the bridge can serve as both an active actuator and a response receiver. This dissertation aimed to develop new methodologies to eventually detect bridge damages such as scour using the dynamic response of the vehicle. To reach the final objective, a framework of damage identification was developed first, which gave a guideline on the three crucial steps for damage detection. An optimization method was proposed that combines the Genetic Algorithm (GA) and the First Order (FO) method. It has the advantages of the global and local algorithms and converges faster than the traditional method using any initial values. Secondly, a new methodology using the transmissibility of vehicle and bridge responses was developed to detect bridge damages. The transmissibility of a simplified vehicle-bridge coupled (VBC) system was analyzed theoretically and numerically to study the feasibility of this method. To obtain the transmissibility, two methods were proposed using two “static” vehicles on the bridge. Then, a tractor-trailer test system was designed to obtain reliable responses and extract bridge modal properties from the dynamic response of moving vehicles. The test vehicle consists of a tractor and two following trailers. The residual responses of the two trailers were used, which successfully eliminated the roughness and vehicle driving effect and extracted the bridge modal properties. This methodology was applied on a field bridge and revealed a good performance. Most previous studies of bridge scour focus on the scour causes instead of its consequences. Finally, in this dissertation the developed methodologies were applied to detect scour damage from the response of bridge and/or vehicles. The scour effect on a single pile was studied and methods of scour damage detections were proposed. A monitoring system using fiber optic sensors was designed and tested in the laboratory and is being applied to a field bridge. Finally, the scour effect on the response of the entire bridge and the traveling vehicle was also investigated under the bridge-vehicle-wave interaction, which in turn was used to detect the bridge scour

    Volcanic Processes Monitoring and Hazard Assessment Using Integration of Remote Sensing and Ground-Based Techniques

    Get PDF
    The monitoring of active volcanoes is a complex task based on multidisciplinary and integrated analyses that use ground, drones and satellite monitoring devices. Over time, and with the development of new technologies and increasing frequency of acquisition, the use of remote sensing to accomplish this important task has grown enormously. This is especially so with the use of drones and satellites for classifying eruptive events and detecting the opening of new vents, the spreading of lava flows on the surface or ash plumes in the atmosphere, the fallout of tephra on the ground, the intrusion of new magma within the volcano edifice, and the deformation preceding impending eruptions, and many other factors. The main challenge in using remote sensing techniques is to develop automated and reliable systems that may assist the decision maker in volcano monitoring, hazard assessment and risk reduction. The integration with ground-based techniques represents a valuable additional aspect that makes the proposed methods more robust and reinforces the results obtained. This collection of papers is focused on several active volcanoes, such as Stromboli, Etna, and Volcano in Italy; the Long Valley caldera and Kilauea volcano in the USA; and Cotopaxi in Ecuador

    Non-destructive Testing in Civil Engineering

    Get PDF
    This Special Issue, entitled “Non-Destructive Testing in Civil Engineering”, aims to present to interested researchers and engineers the latest achievements in the field of new research methods, as well as the original results of scientific research carried out with their use—not only in laboratory conditions but also in selected case studies. The articles published in this Special Issue are theoretical–experimental and experimental, and also show the practical nature of the research. They are grouped by topic, and the main content of each article is briefly discussed for your convenience. These articles extend the knowledge in the field of non-destructive testing in civil engineering with regard to new and improved non-destructive testing (NDT) methods, their complementary application, and also the analysis of their results—including the use of sophisticated mathematical algorithms and artificial intelligence, as well as the diagnostics of materials, components, structures, entire buildings, and interesting case studies
    corecore