Civil Engineering Sector Research Articles

An Update on the Waste Management of the Amazonian Açaí Berry for the Civil Engineering Sector

The rising demand for açaí berries in Amazonian Brazil and French Guiana generates a significant amount of waste, namely the fruit’s stone, which accounts for 80% of the dry fruit’s mass. Recently, various studies have explored the potential valorization of açaí waste in the civil engineering sector, including the functionalization of the fibers surrounding the stone and the multiphysics testing of composite materials based on açaí fibers and/or stones, treated or untreated. This literature review aims to provide an overview of the technology readiness levels (TRLs) of the existing techniques capable of reducing the environmental impact of both the cultivation and management of naturally occurring açaí. While the research to date is promising, it remains at the prototype stage, and the mass ratio of waste in composites, regardless of their type, limits addressing the underlying ecological problem of açaí waste processing. Further experimental investigations are required to improve the functionalization processes, enabling the use of higher proportions of fibers and/or stones in cementitious composites and their large-scale production.

Innovating Civil Engineering: Strategies for Fostering Stakeholder Engagement in the Circular Economy

Sustainability and circular economy principles are increasingly important in civil engineering, as highlighted by the United Nations Environmental Programme in 2023 the construction activities represented 36% of global energy use in 2020. However, the sector's focus on reducing operational carbon overshadows the need for addressing embodied carbon from materials like cement, steel, and aluminium. To address this, a shift towards incentivizing all supply chain stakeholders and cultivating collaborative models is necessary. This research provides an initial scoping for the development of the Lithuanian Construction Materials Reuse Optimization (LSEPO) platform, a pioneering regional initiative fostering a marketplace for reused building materials. Such platforms are recognized for their potential to overcome sustainability barriers by utilizing digital technologies for efficient data management and stakeholder collaboration. Our research identifies a significant gap in the existing literature concerning effective stakeholder engagement strategies critical for the success of such platforms. To bridge this gap, we employed a three-tiered methodological approach: firstly, a semi-structured literature analysis delved into existing stakeholder engagement strategies within the circular economy. This review highlighted a fragmented understanding of incentives and collaboration dynamics across different sectors. Secondly, a content analysis of global material exchange and circular construction platforms provided insights into best practices, showcasing successful communication methods, innovative incentive models, and robust collaboration frameworks. Lastly, integrating these findings, our study proposes a conceptual stakeholder engagement framework tailored for social innovation in civil engineering, more specifically Lithuanian Construction Materials Reuse Optimization (LSEPO). Practical implications of our findings underscore the necessity for platforms like LSEPO to incorporate adaptive engagement strategies that are context-sensitive and inclusive, facilitating a broad spectrum of stakeholder inputs. The study demonstrates that effective stakeholder engagement goes beyond traditional communication methods; it requires a systemic integration of technological innovation and incentive alignment to promote sustained participation and collaboration. By providing a comprehensive foundation for the development of the LSEPO platform, this research not only aims to advance it as a beacon of social innovation and environmental stewardship within the civil engineering sector but also sets a benchmark for future initiatives aiming to embed circular economy principles effectively.

Rapid screening of fibrous plaster ceilings health status using a laser Doppler vibrometer

The pressing necessity to determine a fast, efficient and rigorous approach to assess the health status of fibrous plaster ceilings across the UK motivated the research presented in this paper. Health monitoring techniques commonly used in the civil engineering sector are generally based on the measurement of the dynamic response of structures, such as buildings or bridges, using sensors (mainly accelerometers). This approach can certainly be adopted for suspended ceiling damage identification studies as well; however, the use of sensors directly connected to the ceiling might be prohibitive and time consuming and, therefore, more suitable for permanent monitoring systems. In this regard, in this study we explore the use of the laser Doppler vibrometer for the rapid screening of fibrous plaster ceilings health status. First, rigorous detailed studies have been conducted in the laboratory to assess damage using an ad hoc manufactured fibrous plaster panel using different sources of excitation in conjunction with the laser vibrometer. Damage indicators for the fibrous plaster ceiling have been introduced and validated through the laboratory experiments. Finally, the proposed approach based on laser vibrometer measurements and damage indicators has been applied to the Institution of Civil Engineers library ceiling in London, UK.

Review of aging mechanisms, mechanical properties, and prediction models of fiber‐reinforced composites in natural environments

AbstractFiber‐reinforced composites are widely used in civil engineering, aerospace, automotive, and medical sectors. However, these composites undergo aging due to factors such as temperature, humidity, load, and so on, during their usage. As a result, their performance deteriorates, and predicting their durability under real service conditions is a significant challenge. In order to better understand the durability of fiber‐reinforced composites, this article summarizes their microscopic aging mechanism under natural aging conditions and analyzes the changing rules of tensile, bending, and shear properties of composites under seven typical climate types, including tropical desert climate, temperate continental climate, temperate oceanic climate, Mediterranean climate, seasonal climate, tropical rainforest climate, and seawater immersion. This article reviews various durability prediction models, such as the Arrhenius model, prediction models based on residual modulus of elasticity and residual strength, and median strength regression analysis. To enhance the accuracy of aging life prediction during the natural aging process of composites, it is important to consider the influence of loads under real service conditions, incorporate different climatic types, utilize comprehensive mechanical property indices, establish an equivalent conversion relationship between natural aging and accelerated aging, and create a database with unified test standards.Highlights The aging mechanisms of FRP after exposure in natural aging environments are discussed. The tensile, bending, and shear properties of FRP after exposure under seven climate types are discussed. The predictive models are proposed for the FRP used in natural aging. The future research needs are proposed for the FRP used in natural aging.

Predicting Mechanical Properties of Carbonate Rocks Using Spectroscopy Across 0.4–12 μm

Determining the mechanical characteristics of rocks is crucial in various civil engineering sectors. Traditionally, the mechanical properties of rocks are determined through on-site and laboratory tests carried out during geotechnical surveys. However, these extensive surveys require considerable time and resources. In contrast, hyperspectral remote sensing techniques offer a rapid and simple means to determine the mineral composition and crystallographic structure of rocks. These features, in turn, influence the rocks' mechanical properties. This study focuses on characterizing the mechanical properties of carbonate rocks in a laboratory setting, using hyperspectral sensors. Approximately 150 cylindrical carbonate rock samples, spanning a wide strength range, were collected from diverse Israeli rock outcrops. Employing a point spectrometer (0.4 to 2.5 µm) and a spectral image sensor (8.0 to 12.0 µm), we captured samples' light reflections and spectral emissivity. Mechanical attributes, including density, porosity, water absorption, and uniaxial compressive strength (UCS), were measured. Advanced data mining techniques identified statistical correlations between hyperspectral signatures and mechanical properties, pinpointing key wavelengths for prediction. The developed models exhibited excellent predictability for the specified properties, attributing accuracy to discernible mineralogy and internal crystalline structure through spectroscopy. However, predicting UCS showed slightly weaker results due to influences from internal flaws not entirely reflected in spectroscopic data. Nonetheless, outcomes regarding rock UCS were deemed satisfactory. These findings open avenues for non-destructive tools in assessing the mechanical properties of rocks in quarrying operations.

Advances of natural fiber composites in diverse engineering applications—A review

This paper emphasizes the significant usage of natural fiber as a reinforced composite in the potential engineering field. Mechanical, civil, textile, agricultural, and other engineering sectors have already initiated the utilization of natural fiber in their multiple fields. After going through some processes like treating chemically and synthesizing them accordingly, natural fiber composites are prepared for respective implementation. Unlike other types of composite materials, natural fiber composites have some unique properties like recyclability, adaptability, environmental safety, and easy persuasion. On the other hand, different types of naturally oriented fiber like jute, cotton, silk, linen, hemp, etc. have almost the same kind of mechanical, thermal, and chemical features as traditional composite materials. Additionally; automobile, marine, aerospace, medical, and recreation industries claim a significant realm in this type of material kingdom. Though moisture problems, fiber swelling, and safe reusability are threatening for natural fiber-reinforced composites, more research will certainly reduce these problems. Researchers play a significant role in the permanent solution of different applications of natural fiber composites in every engineering sector.

A hybrid artificial intelligence approach for modeling the carbonation depth of sustainable concrete containing fly ash

One of the major challenges in the civil engineering sector is the durability of reinforced concrete structures against carbonation during the physico-chemical process of interaction of hydrated cementitious composites with carbon dioxide. This aggressive process causes carbon penetration into the reinforcement part, which affects the behavior of the structure during its lifetime due to corrosion risk. A countermeasure is using alternative cementitious materials to improve concrete texture and resist increased carbonation depth (CD). Considering that the CD test requires a long time and a skilled technician, this study strives to provide an alternative approach by moving from traditional laboratory-based methods towards artificial intelligence (AI) techniques for modeling the CD of sustainable concrete containing fly ash (CCFA). Despite the development of single AI models so far, it is undeniable that utilizing metaheuristic optimization techniques in the form of hybrid models can improve their performance. To this end, a new hybrid model from the integration of biogeography-based optimization (BBO) technique with artificial neural network (ANN) is developed for the first time to estimate the CD of CCFA. The error distribution results revealed that 59% of the ANN predictions had errors within the range of (− 1 mm, 1 mm], while the corresponding percentage for the ANN-BBO predictions was 70%, indicating an 11% reduction in the prediction errors by the proposed hybrid model. Furthermore, A10-index highlighted a performance improvement of 78% for the hybrid model, which met the closeness of the predicted values to the observed ones, so that the value of this index for models of ANN and ANN-BBO was 0.5019 and 0.8947, respectively. Analyzing the cross-validation confirmed the reliability and generalizability of the developed model. Also, the three most influential variables in estimating the CD were exposure time (27%), carbon dioxide concentration (22%), and water/binder (18%), respectively. Finally, the superiority of the ANN-BBO model was verified by comparing it with previous studies’ models.

A New Modification of the Weibull Distribution: Model, Theory, and Analyzing Engineering Data Sets

Symmetrical as well as asymmetrical statistical models play a prominent role in describing and predicting the real-world phenomena of nature. Among other fields, these models are very useful for modeling data in the sector of civil engineering. Due to the applicability of the statistical models in civil engineering and other related sectors, this paper offers a statistical methodology to improve the distributional flexibility of traditional models. The suggested method/approach is called the extended-X family of distributions. The proposed method has the ability to generate symmetrical and asymmetrical probability distributions. Based on the extended-X family approach, an updated version of the Weibull model, namely, the extended Weibull model, is studied. The proposed model is very flexible and has the ability to capture the symmetrical and asymmetrical shapes of its density function. For the extended-X method, the estimation of parameters, a simulation study, and some mathematical properties are derived. Finally, the practical illustration/usefulness of the suggested model is shown by analyzing two data sets taken from the field of engineering. Both data sets represent the fracture toughness of alumina (Al2O3).

Application of Waste Tire in Construction: A Road towards Sustainability and Circular Economy

The global demand for rubber is on a steady rise, which is driven by the increasing production of automobiles and the growing need for industrial, medical, and household products. This surge in demand has led to a significant increase in rubber waste, posing a major global environmental challenge. End-of-life tire (ELT) is a primary source of rubber waste, having significant environmental hazards due to its massive stockpiles. While landfilling is a low-cost and easy-to-implement solution, it is now largely prohibited due to environmental concerns. Recently, ELT rubber waste has received considerable attention for its potential applications in civil engineering and construction. These applications not only enhance sustainability but also foster a circular economy between ELT rubber waste with the civil engineering and construction sectors. This review article presents a general overview of the recent research progress and challenges in the civil engineering applications of ELT rubber waste. It also discusses commercially available recycled rubber-based construction materials, their properties, testing standards, and certification. To the best of the authors’ knowledge, this is the first time such a discussion on commercial products has been presented, especially for civil engineering applications.

Construction of Green Buildings by Using AI in the Civil Engineering Field - II

Abstract: A branch of computer science called Artificial intelligence (AI) deals with studying, creating, and using intelligent machines. This includes the description of recently developed ideas and methods for the development and implementation of AI in civil engineering and also gives an overview of the field’s advancement. The tremendous development and advancement in big data, deep learning, and machine learning technologies, have been used effectively and successfully in various civil engineering sectors.

Profile of Work Accidents in the Building and Public Works Sector BTP about 8 Companies in Conakry

Introduction: The building and civil engineering sector is a vast one, encompassing a wide range of activities including the construction, repair, renovation and demolition of structures In the course of their activities, workers are subjected to a variety of exposures, including dusts and fumes, asbestos, uncomfortable postures and heavy loads, Methodology: This was a descriptive and analytical cross-sectional study lasting seven (07) months, from November 25, 2020 to June 27, 2021. The city of Conakry served as the setting for the study. The material consisted of workers on construction sites.

Advances of Digital Twins in Bridge Structures Maintenance

The conception and development of digital twins (DT) are increasingly investigated within the civil engineering sector. They exhibit significant potential in nearly all phases of a structure, including design, construction, operation, and maintenance. However, the precise function and implementation of DT lack a clear definition and continue to be the subject of research. This work investigates the implementation and latest developments of DT concerning the maintenance of bridge construction. To achieve this, we first conduct a systematic literature data curation of papers published within the last eight years, from 2016 to 2024, related to DT in the maintenance of civil engineering structures. These papers have been selected based on a co-occurrence analysis of keywords. As a result, we found 74 papers. Afterwards, with the focus on the digital entity of the bridge DT, we summarize and analyze the concepts, methods, and application cases of 10 selected goal-oriented papers. Then, the application of DT on the Nibelungen Bridge Worms in Germany is introduced as a case study. Finally, we provide a discussion on the implementation of DT in the maintenance of civil engineering structures.

Including Carbon Dioxide and Sulphur Dioxide Production in the Lifetime Costs of Buildings

Reduction in the consumption of operational (primary) energy and emissions of harmful gases has recently become the focus of attention of the civil engineering sector. In this context, there is also emphasized the energy consumption and emission production values associated with the whole life cycle of the construction materials used, which is referred to as “bundled energy consumption” and “bundled emissions”. This paper analyses the energy performance certificates in combination with the SBToolCZ methodology. Sustainability Building Tool is a methodology designed to assess the sustainability of buildings. This methodology is used to assess the environmental impact of buildings at different stages of their life cycle, such as production, operation and demolition of the building. The amount of carbon dioxide and sulphur dioxide produced during the life cycle of buildings was determined by analysing and extending the building assessment data by the SBToolCZ methodology, which was subsequently valued and incorporated into the lifetime costs. The data from 17 case studies from the Czech environment were analysed. Taking these environmental impacts into account, valuing them and analysing the cash flows of investors and society shows the importance of paying increased attention to sustainable construction and reducing its negative impact on the environment and climate. Research data shows that 30% of the operating costs of buildings are the societal costs associated with CO2,eqv. and SO2,eqv. production.

Transforming the Civil Engineering Sector with Generative Artificial Intelligence, such as ChatGPT or Bard

Transforming the Civil Engineering Sector with Generative Artificial Intelligence, such as ChatGPT or Bard

Rheological enhancement of fresh polymer-modified cement composites via surface-modified graphene oxide

Polymer-modified cement (PMC) composites are extensively utilized in modern construction, especially in tunneling and structural applications, but their excessive flowability and reduced thixotropy continue to present fundamental rheological challenges. We present a novel approach to improving the rheological performance of PMC via surface-modified graphene oxide (GO), i.e., GOPMC composites. Specifically, the flow behavior of GOPMCs in relation to shear stress–shear strain response and apparent viscosity were investigated. The rheological parameters were analyzed by using Herschel–Bulkley's model. Additionally, zeta potential and dispersion analysis were conducted to investigate interparticle interaction forces. Flow measurement confirmed ∼20 % lower flowability of the GOPMC than the reference PMC. GOPMC composites further displayed higher yield stress of ∼82 % and ∼33 % reduced viscosity with inherent decreased shear-thickening compared to reference PMC composites. The yield stress of the GOPMC composite increased over time, disclosing distinct structural evolution linked to enhanced hydration kinetics by GO. Additionally, GO nanosheets in the GOPMC altered the rheopectic behavior of the redispersible polymer and enhanced the degree of thixotropy by ∼80 %, attributable to the promotion of bridged flocculated structures which produces a rigid system, facilitated by particle interaction forces comprising of van der Waals and steric forces. This latter observation provides a mechanistic framework for the enhanced rheological performance of GOPMC composites aiming at broader civil engineering and construction sector applications beyond tunneling.

On the identifiability and statistical features of a new distributional approach with reliability applications

Probability distributions have prominent applications in different sectors. Among these sectors, probability models are mostly used to analyze datasets in engineering. Among the existing probability distributions, the two-parameter Weibull model plays an important role in providing the best fit for engineering and other related datasets. This paper introduces a new method called a novel updated-W (denoted by “NU-W”) family of distributions that is used to develop a new updated form of the Weibull distribution. The proposed updated extension of the Weibull model is referred to as a novel updated Weibull (denoted as NU-Weibull) distribution. Distributional properties such as identifiability, heavy-tailed characteristic, and rth moment of the NU-W family are derived. The residual life analysis of the NU-Weibull distribution is provided. Finally, two physical applications from civil engineering and reliability sectors are analyzed to demonstrate the application and effectiveness of the NU-Weibull distribution. The data fitting results show that the NU-Weibull distribution is a more suitable and best fit for engineering datasets.

Comprehensive review of LCA studies in Civil Engineering

This review paper explores the application of Life Cycle Assessment (LCA) within the domain of civil engineering, aiming to provide a comprehensive overview of current research, methodologies, challenges, and future trends. LCA serves as a pivotal tool for assessing the environmental impact of infrastructure projects, yet gaps persist in its integration with socioeconomic dimensions, regional considerations, and dynamic modeling. By analyzing existing literature and scholarly discussions, this review identifies research gaps and proposes directions for enhancing the applicability and effectiveness of LCA in civil engineering. Moreover, it examines future trends such as the integration of advanced technologies, stakeholder engagement, and policy implementation, poised to shape the landscape of LCA practices in the civil engineering sector. Ultimately, this review paper contributes to the understanding of LCA's potential to drive sustainable decision-making in infrastructure development, paving the way for more informed and environmentally conscious practices.

Seeking the Optimisation of Public Infrastructure Procurement with NEC4 ECC: A Peruvian Case Study

The modern civil engineering and construction sector requires collaborative work environments, learning and trust among all parties involved, qualities that are absent in the Peruvian reality. This study, which is based on an extensive literature review, investigates this challenge. The study reflects upon (i) the current situation of public works procurement in Peru and (ii) the New Engineering Contract (NEC), which has recently been implemented in Peruvian Special Public Infrastructure Projects. Comparisons are presented between the characteristics, documentation and roles of these two systems, with the purpose of understanding and representing the advantages, disadvantages and possibilities of integrating the good contractual management practices of the NEC4 Engineering and Construction Contract into the traditional Peruvian State Contracting Law (Ley de Contrataciones del Estado: LCE). The research is validated through the case study of a high-impact road infrastructure project in the city of Arequipa, Peru, which revealed five main deficiencies from Peruvian procurement processes which hinder good contractual management and, also, facilitated an initial assessment of the challenges and improvement opportunities in public infrastructure procurement. Thus, a contribution is made to closing the knowledge gap regarding the implementation of the NEC4 ECC in public sector works.

Using XFEM technique to predict the crack growth in the notched plate under high loading cyclic conditions

Our study delves into analyzing fatigue damage in notched structures, an essential field in structural mechanics. We aim to understand how geometric and dimensional variations in the notches affect fatigue damage under different modes and amplitudes of cyclic loading, focussing on the behavior of steel. Our research methodology integrates experimental and numerical approaches. Experimental validation encompasses material properties, mesh selection, and boundary conditions. The finite element method is tailored to address steel’s elastoplastic behavior, employing calibrated parameters for kinematic and isotropic cyclic hardening models within the numerical realm. Specific findings elucidate the cyclic response of notched structures, tracking damage progression to critical thresholds, including the number of cycles to failure (Nf) and the critical crack length ( Lc ). Hysteresis curves vividly depict stress–strain relationships, offering insight into material behavior under cyclic loading. Implications span engineering domains, focussing on reliability and durability in the aerospace, automotive, and civil engineering sectors. Future directions include real-world applications and advanced techniques such as the Extended Finite Element Method (XFEM). In conclusion, this research enriches our understanding of fatigue damage analysis in notched structures, poised to impact safety and robust engineering design.

Glue laminated timber beams in pinus: analytical and experimental study of flexural stiffness

In the current global scenario, where demand for sustainable development is paramount, the prestige associated with the applicability of wood as a primary structural element on a scale never before achieved characterizes it as the building material of the 21st century. This is due to its structural, economic, energetic, and environmental principles, and abundant availability in nature. Among the new wood-based products, significant attention is directed toward the Glued Laminated Timber (Glulam) structural system, owing to its enhanced strength characteristics. As this construction system gains momentum in the Brazilian Civil Engineering sector, the technological classification of mechanical properties becomes a critical point for the effectiveness of its implementation, both in terms of quality control and compatibility with the resistance parameters mandated by prevailing regulations. Thus, the objective of this present study is to investigate, through statistical analyses, the characterization of the mechanical parameter of the Elastic Modulus of eight Glulam beams, fabricated using Pinus conifer wood and monocomponent polyurethane adhesive material. This investigation is conducted via non-destructive experimental flexural and static tests, considering a predefined maximum displacement as the stopping criterion, along with the analytical method of transformed section, as proposed by the Brazilian standard ABNT NBR 7190:2011. The results of experimental characterization in structural dimensions and analytical predictions exhibit a high statistical agreement, with a strong correlation of approximately 79.0%.