Amidst global scarcity, preventing pipeline failures in water distribution systems is crucial for maintaining a clean supply while conserving water resources. Numerous studies have modelled water pipeline deterioration; however, existing literature does not correctly understand the failure time prediction for individual water pipelines. Existing time-to-failure prediction models rely on available data, failing to provide insight into factors affecting a pipeline's remaining age until a break or leak occurs. The study systematically reviews factors influencing time-to-failure, prioritizes them using a magnitude-based fuzzy analytical hierarchy process, and compares results with expert opinion using an in-person Delphi survey. The final pipe-related prioritized failure factors include pipe geometry, material type, operating pressure, pipe age, failure history, pipeline installation, internal pressure, earth and traffic loads. The prioritized environment-related factors include soil properties, water quality, extreme weather events, temperature, and precipitation. Overall, this prioritization can assist practitioners and researchers in selecting features for time-based deterioration modelling. Effective time-to-failure deterioration modelling of water pipelines can create a more sustainable water infrastructure management protocol, enhancing decision-making for repair and rehabilitation. Such a system can significantly reduce non-revenue water and mitigate the socio-environmental impacts of pipeline ageing and damage.

The lack of global standardization in the testing methods for Stabilized Rammed Earth (SRE) hinders progress in advancing knowledge of this sustainable construction technique. This review compiles research from the last four years on SRE, focusing on manufacturing parameters, curing conditions, chemical stabilizer kinds, stabilizer dosage, testing methods, and mechanical and durability properties. Based on this analysis, a methodology is proposed to define and standardize SRE manufacturing parameters, curing, and testing conditions. The proposed methodology suggests that soil particle size distribution should be optimized to enhance mechanical strength and durability while reducing stabilizer dosage. The selection and dosage of stabilizers should be determined based on soil characteristics and environmental considerations. The standard proctor test is recommended for assessing manufacturing conditions, while curing should be performed by wrapping samples in plastic at laboratory temperature. Unconfined Compressive Strength is identified as the most relevant mechanical test and should be conducted at 7, 28, and 90 days. For durability assessment, erosion testing and exposure to liquid water are recommended at 28 days. This methodology represents one of the first steps toward the standardization of SRE testing methods, which must be accepted and adopted by researchers and practitioners. By implementing this methodology, comparable results across studies could be achieved, facilitating further research and collaboration among researchers. Such efforts would contribute to enhancing the available knowledge to improve the material's performance and further promote SRE as a sustainable construction technique.

This review explores the influence of soil-structure interaction (SSI) on the seismic response of structures, employing Latent Dirichlet Allocation (LDA) to identify research trends and thematic clusters. Key topics include the dynamic response of buildings, nonlinear modeling approaches, soil-foundation interaction, and performance-based seismic evaluation. SSI significantly modifies structural behavior, influencing vibration characteristics, wave propagation, and energy dissipation. Building parameters, soil stiffness, and foundation type were identified as critical factors impacting seismic performance. Advanced nonlinear modeling techniques, such as finite element analysis and optimization algorithms, have enhanced the accuracy of SSI simulations, enabling detailed assessments of soil-structure dynamics and damage probabilities. Innovations like gravel-rubber mixtures for seismic isolation and tuned mass dampers integrated with SSI were highlighted for their effectiveness in mitigating seismic impacts. The review highlights the necessity of incorporating SSI into design frameworks to address dynamic amplification, site-specific conditions, and fragility variations. However, critical gaps remain, particularly in large-scale fragility modeling, multi-hazard assessments, and experimental validations. These gaps highlight the need for further integration of SSI effects into seismic risk analyses and design codes. Future research should prioritize multi-disciplinary approaches that bridge theoretical advancements and practical applications to enhance structural resilience in seismically active regions. This study provides a comprehensive foundation for advancing SSI-informed seismic design practices and improving the safety and sustainability of infrastructure.

This direction paper explores the evolving landscape of physics-informed machine learning (PIML) methodologies in the field of geotechnical engineering, aiming to provide a comprehensive overview of current advancements and propose future research directions. Recognising the intrinsic connection between geophysical phenomena and geotechnical processes, we delve into the inter of physics-based models and machine learning techniques. The paper begins by elucidating the significance of incorporating physics-informed approaches, emphasising their potential to enhance the interpretability, accuracy and reliability of predictive models in geotechnical applications. We review recent applications of PIML in soil mechanics, hydrology, geotechnical site investigation, slope stability analysis and foundation engineering, showcasing successes and challenges. Furthermore, we identify promising avenues for future research in geotechnical engineering, including the integration of domain knowledge, model explainability, multiphysics and multiscale problems, complex constitutive models, as well as digital twins and large AI models within PIML frameworks. As geotechnical engineering embraces the paradigm shift towards data-driven methodologies, this direction paper offers valuable insights for researchers and practitioners, guiding the trajectory of PIML for sustainable and resilient infrastructure development.

Wind energy offers significant advantages over fossil fuels, including extensive energy storage and environmental sustainability. Offshore wind turbines serve as the primary technology for harnessing offshore wind power. However, the corrosive effects of the marine environment pose serious threats to their safety and stability. This paper provides a comprehensive overview of corrosion issues affecting steel pipe pile infrastructure, focusing on the following key aspects: (1) Differentiating corrosion mechanisms under various environmental conditions, (2) analyzing the comprehensive corrosion response, particularly the changes in mechanical properties of the pile-soil interface and the bearing capacity of steel pile foundations, (3) summarizing the patterns and trends in corrosion processes to offer theoretical insights for engineering design, and (4) reviewing commonly employed corrosion prevention methods and their respective applicability in relation to specific corrosion mechanisms and responses.

Soils and geosynthetics are terms used interchangeably whenever the physical and mechanical properties of the soil are unlikely to sustain the load coming over it. Several studies have been undertaken to determine the benefits of using geosynthetic products instead of conventional procedures such as stone columns, jet grouting, soil nailing, and so on. As far as geotechnical applications are concerned, geogrid is the most widely utilised polymeric product. This paper provided an overview of geogrid's numerous applications, including pavements, airport runways, railroads, building foundations, MSE walls, bridge embankments, and landfills. Furthermore, this bibliometric analysis has revealed the important laboratory model experiments done on geogrids as well as numerical finite element and finite difference model analysis. An overview of several case studies involving geogrid reinforcement in large projects was also documented; the review also discussed the present trends and opportunities for future development of new geogrid reinforcement technologies within the same of the literature collection to have better clarity for comparison.

Crude oil leakage occurs frequently during exploration, storage, transportation, production, and consumption. The spilling of crude oil has the potential to contaminate the ocean, soil, and groundwater. Oil spills during oil extraction and transportation, such as from drilling wells, rigs, transport tanks, and pipelines, are an important cause of extensive environmental damage because they significantly decrease the diversity of aquatic life and disrupt the biological equilibrium of the ocean. It also damages the world's energy economy. Cleaning crude oil spills from marine or ocean environments is a highly challenging task because of the spilt oil's properties and limited mobility to the accidental site. This article focuses primarily on the various technologies used in the cleanup of oil spillage in marine or ocean environments, as well as their recent trends and challenges. This research work begins with a discussion of the historical events and the primary roots of oil spills, the composition of the spilt oil, the effects they have on the surrounding environment, the governmental rules for oil spills, and methods for cleaning up marine oil spills such as physical, thermal, biological, and chemical are briefly covered along with their benefits and drawbacks. This work discusses the software and artificial intelligence-related technologies prevailing for oil spill modelling and their current limitations.

Assessing the subsurface geological conditions beneath a structure is crucial, as soils inherently tend to lose intergranular strength when subjected to static or dynamic loads. Applying dynamic loads can result in the propagation of stress waves through the soil, leading to deformation of the soil structure and causing more significant damage than static loads. Extensive research has been conducted on treating dynamic characteristics of clay soil properties using traditional additives such as lime and cement. To achieve better results and address the limitations of conventional materials in soil improvement, there is a growing trend towards using nontraditional stabilizers, referred to as 'recycled and sustainable' materials. These include, for example, silica fume, polypropylene fibers, steel slag, fly ash, rubber tire particles, basalt, and recycled and crushed glass, which are currently being deeply investigated to improve the dynamic behavior of clay soils. The review article compares the effects of traditional and sustainable stabilizers on dynamic engineering properties of soils. It also highlights the engineering significance and innovations in the use of such materials. While traditional stabilizers effectively improve soil strength and durability, they pose environmental challenges, including increased CO2 emissions and brittleness under seismic stress. Innovations focus on refining these techniques and incorporating sustainable alternatives, such as waste-derived materials, to enhance soil properties, improve seismic performance, and reduce environmental impact. The study underscores the need for developing cost-effective, ecofriendly solutions for modern infrastructure. It systematically analyzes recent topics on soil stabilization using these additives, examining parameters that influence the dynamic properties of stabilized clay soils. Furthermore, it reviews microstructural changes due to stabilization and their impact on dynamic properties, offering suggestions for future research.

Integral bridges have been proposed as a jointless design alternative to the traditional counterparts, possessing copious potential economic and structural advantages. However, due to the monolithic connection at the girder- abutment interface, longitudinal deformations from the superstructure must now be accommodated by the stiffness of the approach backfill and soil surrounding the foundation. Consequently, in addition to traffic loads, integral bridge approaches are subjected to long-term, cyclic loading due to diurnal and seasonal thermal variations. This has resulted in two progressive geotechnical phenomena: an escalation of lateral passive pressures at the abutment-soil interface and accumulated deformations near the bridge approach. Over the last two decades, several investigations on the approach backfill-abutment interaction have been carried out. However, previous reviews on integral bridges have not comprehensively discussed the theoretical aspects of these two complex geotechnical issues. Hence, this paper presents a discussion on the long-term response of stress ratcheting observed from controlled analyses, along with a comparison to that from field monitoring data. Subsequently, the occurrence of accumulated deformations, along with a correlation to the mechanism of the cyclic interaction is explored. The effects of foundation design choice and skew angle on the passive pressure accumulation and soil deformation behavior are then presented. Subsequently, approaches used to mitigate the effects of the backfillabutment interaction are compared. From this review, it is apparent that outcomes based on available experimental and field investigations are yet inadequate to develop analytical models required to predict the long-term response of integral bridge approach backfills under various loading conditions.

In the context of global research in snow-affected regions, research in the Australian Alps has been steadily catching up to the more established research environments in other countries. One area that holds immense potential for growth is hydrological modelling. Future hydrological modelling could be used to support a range of management and planning issues, such as to better characterise the contribution of the Australian Alps to flows in the agriculturally important Murray-Darling Basin despite its seemingly small footprint. The lack of recent hydrological modelling work in the Australian Alps has catalysed this review, with the aim to summarise the current state and to provide future directions for hydrological modelling, based on advances in knowledge of the Australian Alps from adjacent disciplines and global developments in the field of hydrologic modelling. Future directions proffered here include moving beyond the previously applied conceptual models to more physically based models, supported by an increase in data collection in the region, and modelling efforts that consider non-stationarity of hydrological response, especially that resulting from climate change.