Infrastructure Engineering - Research Publications
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ItemLean and Green: How the Synergy Can Promote Sustainable Construction(Springer Nature, 2023-08-01)Lean construction aims to improve efficiency through the reduction of wasteful activities. These waste reduction activities also indirectly improve the sustainability approach used by organizations. Our paper examines the definition of lean construction (LC), LC activities, and green construction as understood by academics through a focused literature review. It then examines these practices considering how these activities contribute towards enhancing the sustainability of the built environment and the organization. Our findings suggest that not all waste reduction activities have the same degree of effect on sustainability improvements. Some lean tools such as standardization and just-in-time (JIT) for production scheduling can have a better effect, especially, if the key performance indicators (KPI) specifically target sustainability indicators. “Lean and Green” is not a myth and is very much achievable in the construction industry with the current efforts towards industry 4.0/5.0. Combining these two concepts remains a challenge. This paper aims to learn from what we already know and suggests ways on how “Lean and Green” can be achieved in the future. The paper includes a discussion on leveraging lean and green concepts to achieve the sustainable development goals promoted by the United Nations.
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ItemNo Preview AvailableComputational Modelling for Managing Pathways to Cartilage Failure.(Springer Cham, 2023)Over several decades the perception and therefore description of articular cartilage changed substantially. It has transitioned from being described as a relatively inert tissue with limited repair capacity, to a tissue undergoing continuous maintenance and even adaption, through a range of complex regulatory processes. Even from the narrower lens of biomechanics, the engagement with articular cartilage has changed from it being an interesting, slippery material found in the hostile mechanical environment between opposing long bones, to an intriguing example of mechanobiology in action. The progress revealing this complexity, where physics, chemistry, material science and biology are merging, has been described with increasingly sophisticated computational models. Here we describe how these computational models of cartilage as an integrated system can be combined with the approach of structural reliability analysis. That is, causal, deterministic models placed in the framework of the probabilistic approach of structural reliability analysis could be used to understand, predict, and mitigate the risk of cartilage failure or pathology. At the heart of this approach is seeing cartilage overuse and disease processes as a 'material failure', resulting in failure to perform its function, which is largely mechanical. One can then describe pathways to failure, for example, how homeostatic repair processes can be overwhelmed leading to a compromised tissue. To illustrate this 'pathways to failure' approach, we use the interplay between cartilage consolidation and lubrication to analyse the increase in expected wear rates associated with cartilage defects or meniscectomy.
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ItemNo Preview AvailableInvestigating the Effectiveness of Energy Tunnels in Cooling Underground Substations(Springer International Publishing, 2023-01-01)
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ItemMultimodal relationships: shared and automated vehicles and high-capacity public transit(The Institution of Engineering and Technology, 2021-12-01)Shared mobility is gaining increasing attention in private and public sectors. Serving as a source of information on how best to shape shared vehicle systems of the future, this book contributes knowledge on key facets of shared mobility.
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ItemNo Preview AvailableChallenges in Transport Logistics for Modular Construction: A Case Study(Springer Nature, 2023-01-01)Construction logistics is one of the essential functions in the modular construction industry due to the high demand for on-time delivery of components. For modular component suppliers, there is minimal flexibility in delivery times as generally, the installation times of modular components are critical to the contractor’s construction programme. There are several studies conducted in recent years that articulate novel methodologies in construction logistics scheduling; however, the industry still faces challenges in streamlining the whole supply chain to better cater to potential uncertainties that impact construction logistics. This paper looks at a case study on a modular component supplier in Melbourne, with regarding to the challenges faced and how they have effectively overcome these challenges and provides a framework to mitigate construction logistics related discrepancies in the supply chain. The resilience of these methods in facing unforeseen events such as COVID-19 will also be discussed. The overarching objectives of this paper are to include: (1) bibliographic mapping of related publications; (2) identification of current methods, problems and technologies used in modular construction logistics; and (3) propose best practice guidelines that can be implemented to effectively cater to such uncertainties in construction logistics to minimise the impact on the supply chain. Further, incorporating lean principles for planning construction logistics and transport for the modular construction industry is also in discussion. Finally, the potential future research directions are highlighted to guide the researchers to pursue areas of much importance.
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ItemInternet of Things for Structural Health Monitoring(CRC Press, 2016-05)The Internet revolution led to the interconnection between people at an unprecedented scale and pace. The ability of the sensor networks to send data over the Internet further enhanced the scope and usage of the sensor networks. The Internet uses unique address to identify the devices connected to the network. Structural Health Monitoring (SHM) implies monitoring of the state of the structures through sensor networks in an online mode and are pertinent to aircraft and buildings. SHM can be further divided into two categories: global health monitoring and local health monitoring. Continuous online SHM would be an ideal solution. SHM is performed by using acoustic sensors, ultrasonic sensors, strain gauges, optical fibers, and so on. Video cameras can also be used for SHM. SHM can be achieved in real-time and rich analytics. With the advent of smart sensors—sensors with programmable microprocessors, memory, and processing—has reduced load of central data processing, communication overhead while proving continuous SHM status.
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ItemParking Occupancy Detection and Slot Delineation Using Deep Learning: A Tutorial(TU Wien Academic Press, 2021)This chapter describes a simple method for parking occupancy detection and an automatic parking slot delineation method using CCTV images. These methods will be presented in the form of MATLAB tutorials with code snippets to allow the interested reader to implement the method and obtain results on a sample dataset. The first tutorial will involve fine-tuning a pre-trained deep neural network for vehicle detection in a sequence of CCTV camera images to determine the occupancy of the parking spaces. In the second tutorial, we perform spatio-temporal analysis of the detections made by a state-of-the-art deep learning object detector (Faster-RCNN) for automatic parking slot delineation.
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ItemComputer Vision Techniques for Urban Mobility(TU Wien Academic Press, 2021)This chapter provides an overview of computer vision techniques with applications in urban mobility and transport systems. Focusing on imagery and Light Detection and Ranging (LiDAR) point clouds as the main data modalities, the chapter reviews relevant computer vision tasks, including classification, segmentation, object detection and tracking. Example applications of these techniques to data captured by stationary sensors installed in the environment as well as mobile sensors onboard vehicles will then be discussed.
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ItemSensors for Parking Occupancy Detection(TU Wien Academic Press, 2021)This chapter provides an overview of sensor technologies and methodologies for determining the occupancy of parking spaces. It covers a range of sensors including active and passive sensors that can be installed overhead, in or on the ground in both indoor and outdoor environments. The chapter also provides a comparison of sensors, and Discusses considerations for sensor selection and open challenges in parking occupancy detection.
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ItemStructural Health Monitoring of Bridges Using Advanced Non-destructive Testing Technique(Springer, Singapore, 2020-01-01)This paper presents an integrated framework for structural health monitoring of bridges by using advanced non-destructive testing (NDT) technique in conjunction with computational modelling. First, the structural characteristics of the Eltham Trestle Bridge under train loading were monitored using the combination of the 3D optical measurement system and IBIS-S. The results demonstrate that, in conjunction with computational modelling, the NDT can capture the structural health conditions of the bridge by analysing the natural frequencies and deformation profiles of the critical members of the bridges. Then, the developed framework also takes into account the impact of extreme events (e.g. truck impacts and earthquakes) by using a reliability-based model. Finally, using the Montague Street Bridge as a case study, it shows that proposed framework has the capability of predicting the residual life of a bridge subject to both progressive deterioration and extreme events throughout its service life.