Jiaming Wang, T. Lord, Yong Wang, L. Black, Q. M. Li
{"title":"Effects of carbonation on mechanical properties of two types of concrete under extreme loadings of high temperature and impact","authors":"Jiaming Wang, T. Lord, Yong Wang, L. Black, Q. M. Li","doi":"10.1680/jsmic.21.00021","DOIUrl":"https://doi.org/10.1680/jsmic.21.00021","url":null,"abstract":"This paper presents the results of an experimental study to investigate changes in mechanical properties of two types of concrete under normal and extreme loading conditions pre- and post-carbonation. Specimens of CEM I and CEM II concrete (concrete prepared with 20% replacement cement with PFA) were cured for 28 days before accelerated carbonation under 4% CO2 for 28 days at 20 °C and 57% relative humidity. Static compressive mechanical tests at ambient temperature were carried out for both concrete types. For CEM I concrete, static compressive mechanical tests were performed at elevated temperatures of 300, 500 and 650 °C, and high strain-rate tests at ambient and elevated temperature of 500 °C. The results show that the mechanical performance of CEM I concrete was improved after carbonation, i.e. increase of static compressive strength at ambient and elevated temperatures, and higher dynamic strength than fresh concrete at the same strain-rate at both ambient and elevated temperatures. However, CEM II concrete suffers reductions in compressive strength after carbonation.","PeriodicalId":371248,"journal":{"name":"Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126731615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Luo, F. De Luca, R. De Risi, L. Le Pen, G. Watson, D. Milne, D. Chapman, A. Sextos, Nigel Cassidy, I. Jefferson, N. Metje, J. Smethurst, D. Richards, G. Mylonakis, Colin A. Taylor, W. Powrie, C. Rogers
{"title":"Challenges and perspectives for integral bridges in the UK: from design practice to fieldwork through small-scale laboratory experiments","authors":"S. Luo, F. De Luca, R. De Risi, L. Le Pen, G. Watson, D. Milne, D. Chapman, A. Sextos, Nigel Cassidy, I. Jefferson, N. Metje, J. Smethurst, D. Richards, G. Mylonakis, Colin A. Taylor, W. Powrie, C. Rogers","doi":"10.1680/jsmic.21.00020","DOIUrl":"https://doi.org/10.1680/jsmic.21.00020","url":null,"abstract":"This study focuses on the investigation of the factors that have limited, so far, the development of a consistent design and assessment approach for integral bridges (IBs). This paper presents review of previous research and current design practices for IBs, followed by an overview of monitoring studies in the laboratory and in the field. As part of the UKCRIC PLEXUS experimental campaign, a small-scale 1g physical experiment is described. The test aimed to simulate the soil-structure interaction arising from seasonal expansion and contraction of the bridge deck and assess the performance of different monitoring techniques. Pressure cells were used to measure the lateral stresses behind the abutment wall, Particle Image Velocimetry was employed to monitor the soil behaviour behind the abutment and Linear Variable Differential Transformers were used to monitor the backfill surface movements. By combining the data from these instruments, a preliminary assessment of the soil-structure interaction behaviour of the idealised integral abutment under seasonal thermal loading has been obtained. These monitoring methods and the associated understanding of IBs’ behaviour gained from the tests provide definitive evidence for the development of monitoring systems for larger-scale physical tests and field monitoring systems for IBs.","PeriodicalId":371248,"journal":{"name":"Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124156677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluating healthcare access in informal settlements using satellites and neural networks","authors":"Ishika Pal, A. Petkar","doi":"10.1680/jsmic.21.00006","DOIUrl":"https://doi.org/10.1680/jsmic.21.00006","url":null,"abstract":"The right to affordable access to hospitals, clinics and dispensaries is one of the major priorities of government authorities. The constant migration towards cities and consequent growth of informal urban settlements makes it imperative to consider the ‘grid of influence’ of such facilities. An attempt is made to understand this influence through satellite imagery and neural networking. Parameters such as distance from access roads and different types of informal settlements were analysed to understand their significance. These parameter models were then used as inputs for training a neural network in a case study area. Statistical plots helped to understand the weight of the parameters and accordingly a spatial probability map was prepared. The results of the study could aid development officials in their various plans and proposals for their urban jurisdiction, helping to increase accessibility to health facilities using modern predictive tools.","PeriodicalId":371248,"journal":{"name":"Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116179216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investing in water supply resilience considering uncertainty and management flexibility","authors":"B. Adey, C. Martani, Jürgen Hackl","doi":"10.1680/jsmic.21.00005","DOIUrl":"https://doi.org/10.1680/jsmic.21.00005","url":null,"abstract":"This paper demonstrates how to make investment decisions that optimally improve water supply resilience, taking into consideration both future uncertainty and management flexibility. The demonstration is done by evaluating investment strategies for a 38 Ml/d water treatment plant serving an urban area with approximately 75 000 inhabitants, where there is uncertainty with respect to future population growth, industrial production, external demand and the amount of rainfall due to climate change. It is shown that the quantification and comparison of the possible reductions in service and intervention costs over comparably long periods enables the optimal investment decisions – that is, the ones with the optimal trade-offs between stakeholders. Additionally, it can be seen that the used methodology enables the consistent and transparent consideration of (a) the concerns of multiple stakeholders, (b) the future deep uncertainty associated with key concerns and (c) the flexibility of infrastructure managers to make decisions in the future using new information. The methodology also ensures that managers have clear plans of action and considerable insight into the extent of required future financing.","PeriodicalId":371248,"journal":{"name":"Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116757843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Mehravar, Hanrui Yang, D. Webb, Wei Zhang, Sina Fadaie Sestelani, D. Chapman
{"title":"Soil Water Content Measurement Using Polymer Optical Fibre Bragg Gratings","authors":"M. Mehravar, Hanrui Yang, D. Webb, Wei Zhang, Sina Fadaie Sestelani, D. Chapman","doi":"10.1680/jsmic.21.00029","DOIUrl":"https://doi.org/10.1680/jsmic.21.00029","url":null,"abstract":"Measuring soil water content is crucially important and can affect soil strength which is a key parameter in analysis, design and monitoring of geo-structures. In this study, an optical fibre Bragg grating (FBG) sensor inscribed in Polymer Optical Fibre (POF) was developed and for the first time its ability to measure soil water content was investigated. The sensitivity of the sensor to different values of gravimetric soil water content under different compaction conditions of loose and normal compaction was tested. The effect of soil temperature on the sensor’s performance was considered. To assess the sensor’s implementation, accuracy and reliability, a commercial soil water content probe (SM150), which measures volumetric soil water content was employed. The results indicate that the developed sensor when calibrated correctly, is able to provide detailed data on any minor variation of soil water content (e.g. 0.5%) with high precision. The outcomes of this study define an additional capability of the POFBG sensors which is significantly important for long-term performance monitoring of geo-structures.","PeriodicalId":371248,"journal":{"name":"Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130122552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Review on Construction Development and Control Technology of Shaking Table","authors":"Chunhua Gao, Jieqiong Wang, X. Yuan, Yonghe Zhang, Yanping Yang, Mengyuan Qin","doi":"10.1680/jsmic.21.00007","DOIUrl":"https://doi.org/10.1680/jsmic.21.00007","url":null,"abstract":"","PeriodicalId":371248,"journal":{"name":"Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133596896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effective stress parameter in unsaturated soils: an evolutionary-based prediction model","authors":"A. Asr, A. Javadi","doi":"10.1680/jsmic.21.00012","DOIUrl":"https://doi.org/10.1680/jsmic.21.00012","url":null,"abstract":"Deformations and failures in unsaturated soils are influenced directly by the effective stress calculated using the stress equation affected by the effective stress parameter. A data mining-based approach, the Evolutionary Polynomial Regression (EPR), is implemented in this research to develop a prediction model for the effective stress parameter in unsaturated soils. The proposed modelling approach takes an evolutionary computing technique to for finding polynomial models that are structured and explicit. A combination of the well-established genetic algorithm method and the least square approach are implemented to search for the most suitable polynomial structures and their corresponding parameters for all terms in the developed polynomial structure. A set of unsaturated soil experimental results (triaxial tests) from literature were used in this study to develop the prediction model. Once the model completed it was evaluated based on its performance for making predictions using input parameters that were previously kept unseen to validate generalization capabilities (making predictions of the output for new input data). The predictions made by the model, were compared to actual measured data from the lab tests as well as an Artificial Neural Network based model. A sensitivity analysis was also done to assess the level and form of contributions that input parameters had to the developed model. The results showed that the developed model could successfully and to a high level of accuracy capture and redevelop the intrinsic connections between the input parameters involved in the model to help produce accurate the effective stress parameter predictions that can not only compete with the artificial neural network model in terms of accuracy of the model predictions and generalisation capabilities; but also outperform the artificial neural network model with regards to the structure, simplicity and transparency.","PeriodicalId":371248,"journal":{"name":"Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction","volume":"230 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133382608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Metje, D. Chapman, M. Stringfellow, S. Rebegea, G. Tuckwell, Matt Guy, Neil Parkin, D. Roberts, Christina G. A. Leach, A. Lord
{"title":"Locating Blockages in Buried (Telecoms) ducts – A New Approach","authors":"N. Metje, D. Chapman, M. Stringfellow, S. Rebegea, G. Tuckwell, Matt Guy, Neil Parkin, D. Roberts, Christina G. A. Leach, A. Lord","doi":"10.1680/jsmic.20.00019","DOIUrl":"https://doi.org/10.1680/jsmic.20.00019","url":null,"abstract":"Buried infrastructure forms the backbone for economic stability, growth, competitiveness and productivity in modern society and is a critical element of urban environments. The pressures on our bur...","PeriodicalId":371248,"journal":{"name":"Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126704112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Next-generation infrastructure for next-generation people","authors":"TylerNick","doi":"10.1680/jsmic.20.00012","DOIUrl":"https://doi.org/10.1680/jsmic.20.00012","url":null,"abstract":"The way in which people consider next-generation infrastructure needs to be rooted in the history of the planet and, in particular, its most troublesome inhabitant, Homo sapiens. This history has d...","PeriodicalId":371248,"journal":{"name":"Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127618992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Briefing: Bringing clarity and new understanding of smart and modular integrated construction","authors":"W. Pan, Zhiqian Zhang, Yi Yang","doi":"10.1680/JSMIC.21.00002","DOIUrl":"https://doi.org/10.1680/JSMIC.21.00002","url":null,"abstract":"Modular construction has been promoted worldwide, with well demonstrated benefits. Modular integrated construction (MiC) was recently established in Hong Kong with the focus on integrated solutions...","PeriodicalId":371248,"journal":{"name":"Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131151259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}