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Topic Review
Structural Health Monitoring
Recent advances in sensor technologies and data acquisition systems opened up the era of big data in the field of structural health monitoring (SHM). Data-driven methods based on statistical pattern recognition provide outstanding opportunities to implement a long-term SHM strategy, by exploiting measured vibration data. However, their main limitation, due to big data or high-dimensional features, is linked to the complex and time-consuming procedures for feature extraction and/or statistical decision-making. To cope with this issue, in this article we propose a strategy based on autoregressive moving average (ARMA) modeling for feature extraction, and on an innovative hybrid divergence-based method for feature classification. Data relevant to a cable-stayed bridge are accounted for to assess the effectiveness and efficiency of the proposed method. The results show that the offered hybrid divergence-based method, in conjunction with ARMA modeling, succeeds in detecting damage in cases strongly characterized by big data.
  • 2.0K
  • 08 Feb 2021
Topic Review
Structural Health Monitoring Damage Classification and System Models
Structural health monitoring (SHM) is a field of science that focuses its efforts on evaluating and monitoring the integrity of a structure of interest.
  • 2.0K
  • 07 Nov 2022
Topic Review
Seismic Behavior of Masonry Infilled Frame Structures
Infilled frames are usually modelled in the context of global building analysis using simplified procedures without considering the aspects resulting from the interaction between the panel and the frame. Other aspects, such as adequate design of the floor beams and the beam-columns’ joints, and control of potential sliding shear failure of the columns, that significantly affect the structural response, are also typically not accounted for. 
  • 2.0K
  • 25 Aug 2022
Topic Review
Efficient Use of Water in Tailings Management
Nowadays, many major copper mining projects in desert areas with extremely dry climates, as in northern Chile and the southern coast of Peru, process sulfide ores at high production rates; in some cases over 100,000 metric tonnes per day (mtpd), generating large amounts of tailings, that are commonly managed and transported to tailings storage facilities (TSF) hydraulically using fresh water. Considering the extremely dry climate, water scarcity, community demands, and environmental constraints in these desert areas, the efficient use of water in mining is being strongly enforced.
  • 2.0K
  • 16 Jun 2022
Topic Review
The Evaluation Role of the Ground-Penetrating Radar
Ground-Penetrating Radar (GPR) is a popular non-destructive technique for evaluating RC bridge elements as it can identify major subsurface defects within a short span of time.
  • 2.0K
  • 01 Apr 2022
Topic Review
Construction Rework Cost Prediction Using Machine Learning
Predicting the construction cost of rework (COR) allows for the advanced planning and prompt implementation of appropriate countermeasures. Machine learning (ML) offers a data-oriented solution that can be utilized in different construction project contexts. ML approaches can predict COR by learning the complex patterns within the quality dataset.
  • 1.9K
  • 09 Dec 2022
Topic Review
Cable-Supported Grid Structures
The cable-supported grid structure (CSGS) is a hybrid structure combined with rigidity and flexibility. Its formed state is closely related to the zero-stress state, construction process, and prestress distribution. 
  • 1.9K
  • 15 Jun 2022
Topic Review
Green Corrosion Inhibitors in RCC Corrosion
Reinforced cement concrete (RCC) is a versatile material that deteriorates over time due to corrosion when exposed to any surrounding aggressive environment. In order to avoid this ramification, many researchers have carried out different works to find the most feasible way to reduce corrosion. To tackle this at the initial stage itself, one such convenient method is through the application of inhibitors. These inhibitors have the most applications in their use as an admixture. 
  • 1.9K
  • 24 Oct 2022
Topic Review
Definitions of BIM by Organizations and Standards
The first documented representation of the concept of BIM—“building information modelling” was a scientific article by Giles A. (Sander) van Nederveen and Frits P. Tolman, which so named the techniques for multi-faceted representation of a building using views of its model.
  • 1.9K
  • 27 Dec 2023
Topic Review
Road Traffic Crashes
Road traffic crashes (RTCs) are a major problem for authorities and governments worldwide. They incur losses of property, human lives, and productivity. 20 to 50 million people are injured in RTCs every year. The involvement of teenage drivers and road users is alarmingly prevalent in RTCs since traffic injuries unduly impact the working-age group (15–44 years). 
  • 1.9K
  • 01 Jul 2022
Topic Review
Healing Performance Assessment of Concrete Using Machine Learning
Bacterial-based self-healing concrete (BSHC) is a well-known healing technology which has been investigated for a few decades for its excellent crack healing capacity. The healing performance (HP) of BSHC can be predicted using machine learning (ML) approaches to save the time and cost of laboratory tests, bacteria selection and healing mechanisms adoption. 
  • 1.9K
  • 12 Jul 2022
Topic Review
Causes of Asphalt Pavement Blistering
No theoretical model effectively explains the blistering process, which provokes functional distress in asphalt pavements worldwide. Over the years, it has been possible to observe blistering on many asphalt pavements, collect information related to the specific contexts of its occurrence, and formulate hypotheses on the potential causes.
  • 1.9K
  • 13 Mar 2024
Topic Review
The Effect of Atmospheric Corrosion on Steel Structures
Atmospheric corrosion can seriously affect the performance of steel structures over long periods of time; thus, it is essential to evaluate the rate of corrosion and subsequent modification of dynamic properties of a structure over different time periods. Standards and codes represent the general guidelines and suggest general protection techniques to prevent structures from corrosion damage. 
  • 1.9K
  • 28 Mar 2022
Topic Review
The Importance of Alternative Materials for Building Construction
The escalating demand for natural resources within the construction industry is progressing upward. At the same time, however, there is a great concern regarding the depletion of these resources. On the one hand, the depletion of primary sources of natural sand worldwide, combined with environmental and ecological concerns, drives the adoption of alternative aggregate materials for sustainable concrete construction. On the other hand, stone dust, a waste from the quarrying industry, offers a cost-effective and practical solution for producing concrete. 
  • 1.8K
  • 29 Aug 2023
Topic Review
Complexity in Interim Payment of Construction Projects
An increasing trend in late payment and nonpayment of construction projects would hinder the sustainable development of projects by impeding progress or causing disputes.  
  • 1.8K
  • 12 May 2023
Topic Review
Combined Finite–Discrete Element Method
The continuum–discontinuum method (CDM) is a promising tool for the study of the rock fracture and fragmentation process under static or dynamic loading conditions, e.g., blasting. The hybrid/combined finite element method (FDEM) might be the most widely used continuum–discontinuum method. Based on the FDEM, many tools are developed for modelling the entire rock fracture process, e.g., Y-2D, Y-GUI, Y-GEO, Y-Slope, Y2D/3D IDE, and the commercial software ELFEN.
  • 1.8K
  • 09 May 2022
Topic Review
Biowastes on Soil Remediation
Biowastes refer to the biodegradable food residues from private household and food industry, garden industry, municipal wastes, and sewage sludge.
  • 1.8K
  • 29 Jul 2021
Topic Review
Subsurface Landslide Monitoring Techniques
Landslides are a common and challenging geohazard that may be caused by earthquakes, rainfall, or manmade activity. Various monitoring strategies are used to safeguard populations at risk from landslides. This task frequently depends on the utilization of remote sensing methods, which include the observation of Earth from space, laser scanning, and ground-based interferometry. In recent years, there have been notable advancements in technologies utilized for monitoring landslides (i.e., subsurface systems). 
  • 1.8K
  • 06 Jun 2024
Topic Review
Sensors Used in Water Monitoring
Water monitoring sensors in industrial, municipal and environmental monitoring are advancing our understanding of science, aid developments in process automatization and control and support real-time decisions in emergency situations. Sensors are becoming smaller, smarter, increasingly specialized and diversified and cheaper. Advanced deployment platforms now exist to support various monitoring needs together with state-of-the-art power and communication capabilities. For a large percentage of submerged instrumentation, biofouling is the single biggest factor affecting the operation, maintenance and data quality. This increases the cost of ownership to the extent that it is prohibitive to maintain operational sensor networks and infrastructures. In this context, the paper provides a brief overview of biofouling, including the development and properties of biofilms. The state-of-the-art established and emerging antifouling strategies are reviewed and discussed. 
  • 1.8K
  • 24 Feb 2021
Topic Review
Structural Health Monitoring System Based on Deep Learning
Concrete stands as the most widely used construction material globally due to its versatility, encompassing applications ranging from pavement, multifloor structures, and bridges to dams. However, these concrete structures endure structural stress and require close monitoring to prevent accidents and ensure sustainability throughout their complete life cycle. Artificial intelligence (AI) and computer vision (CV) have demonstrated considerable potential in diverse applications within construction engineering, including structural health monitoring (SHM) and inspection processes such as crack and damage detection, as well as rebar exposure. While it is undeniable that CV and deep learning models are transforming the construction industry by offering robust solutions for complex scenarios, there remain numerous challenges pertinent to their applications that require attention.  
  • 1.8K
  • 04 Feb 2024
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