Resources Engineering Research Articles

Silicon-based quantum random number generator with untrusted sources and uncharacterized measurements

Random numbers are essential resources in science and engineering, with indispensable applications in simulation, cybersecurity, and finance. Quantum random number generators (QRNGs), based on the principles of quantum mechanics, ensure genuine randomness and unpredictability. Silicon photonics enables the large-scale deployment of integrated QRNGs due to its low cost, miniaturization, and compatibility with CMOS technology. However, current integrated QRNGs are typically based on perfect or partially perfect device models, deviating from real-world devices, which compromises the unpredictability of quantum random numbers. In this study, we implemented a silicon-based QRNG that makes no assumptions about the source and only uses trusted but uncharacterized measurement devices. In experimental demonstration, we show that our setup can generate secure random numbers with different choices of intensities of laser light, and achieve an optimized random number generation rate of up to 4.04 Mbps. Our work significantly advances the security, practicality, and commercial development of QRNGs by employing imperfect devices.

Utility of Certain AI Models in Climate-Induced Disasters

To address the current challenge of climate change at the local and global levels, this article discusses a few important water resources engineering topics, such as estimating the energy dissipation of flowing waters over hilly areas through the provision of regulated stepped channels, predicting the removal of silt deposition in the irrigation canal, and predicting groundwater level. Artificial intelligence (AI) in water resource engineering is now one of the most active study topics. As a result, multiple AI tools such as Random Forest (RF), Random Tree (RT), M5P (M5 model trees), M5Rules, Feed-Forward Neural Networks (FFNNs), Gradient Boosting Machine (GBM), Adaptive Boosting (AdaBoost), and Support Vector Machines kernel-based model (SVM-Pearson VII Universal Kernel, Radial Basis Function) are tested in the present study using various combinations of datasets. However, in various circumstances, including predicting energy dissipation of stepped channels and silt deposition in rivers, AI techniques outperformed the traditional approach in the literature. Out of all the models, the GBM model performed better than other AI tools in both the field of energy dissipation of stepped channels with a coefficient of determination (R2) of 0.998, root mean square error (RMSE) of 0.00182, and mean absolute error (MAE) of 0.0016 and sediment trapping efficiency of vortex tube ejector with an R2 of 0.997, RMSE of 0.769, and MAE of 0.531 during testing. On the other hand, the AI technique could not adequately understand the diversity in groundwater level datasets using field data from various stations. According to the current study, the AI tool works well in some fields of water resource engineering, but it has difficulty in other domains in capturing the diversity of datasets.

Enrichment of strontium and magnesium improves the physical, mechanical and biological properties of bioactive glasses undergoing thermal treatments: New cues for biomedical applications

Bioactive glasses (BGs) have emerged as invaluable resources for bone tissue engineering due to their remarkable properties such as bioactivity, resorbability, cell compatibility, and osteoconductivity. However, these materials exhibit certain limitations when subjected to high temperatures, for their tendency to crystallize, thus leading to diminished bioactivity, reduced mechanical strength, and altered dissolution kinetics. One promising approach to counteract this problem is to reduce the alkaline element content in BGs while simultaneously adding strontium and magnesium. Building on previous studies of Bio_MS, a recently developed experimental formulation, we investigated the contributions of strontium and magnesium to the thermal, mechanical, and biological properties of various bioactive glasses, including commercially available options. Differential thermal analysis, heating microscopy, X-ray diffractometry, environmental scanning electron microscopy, measurement of the Young's modulus, simulated body fluid testing, cytotoxicity tests, cell viability, growth, adhesion and morphology were assessed through an integrated approach and compared for a complete evaluation of BGs, and of doped BGs, also undergoing thermal treatments. The results demonstrated improved thermal, mechanical and biological behaviors of the magnesium-strontium-doped BGs, thus paving the way for the development of BGs with enhanced biomedical perspectives.

Advances and applications of the strut-and-tie method in reinforced concrete design: A state-of-the-art review

The Strut-and-Tie Method (STM) is a versatile and powerful approach widely used in the design and analysis of reinforced concrete structures, particularly in regions with complex stress distributions and discontinuities. This review article delves into the theoretical foundations, practical applications, and experimental validations of the STM. The article begins by exploring the fundamental principles of the STM and its historical development, with a focus on its application in predicting the capacity of reinforced concrete members. Additionally, the STM efficacy in designing deep beams and comparisons with other analytical methods are thoroughly examined. Notably, the review includes a discussion on the application of STM in concrete beams, highlighting its ability to accurately predict capacity. Several studies investigating the behavior of reinforced concrete deep beams with openings, shear-strengthened deep beams, and continuous deep beams using the STM approach are critically analyzed, providing valuable insights into its reliability and practicality. Furthermore, the review delves into advancements in computational tools and finite element analyses that have been integrated with the STM, offering a more comprehensive and robust approach to design and analysis. The article also evaluates practical applications of STM in engineering scenarios, such as the design of bridge pier caps and complex regions, showcasing its versatility and adaptability. In conclusion, this review underscores the pivotal role of the Strut-and-Tie Method in modern reinforced concrete design and analysis. It serves as a valuable resource for engineers, researchers, and practitioners seeking to apply this method effectively in various structural configurations and challenging scenarios. Ultimately, the article emphasizes the significance of STM as a reliable and efficient tool for optimizing the design and ensuring the safety and performance of reinforced concrete structures.

Molecular Genetic Insights into the Stress Responses and Cultivation Management of Zoysiagrass: Illuminating the Pathways for Turf Improvement

Zoysiagrass (Zoysia spp.) and its hybrids are known for their low maintenance requirements and are widely utilized as warm-season turfgrass, which offers considerable ecological, environmental, and economic benefits in various environments. Molecular genetic approaches, including the identification and genetic engineering of valuable gene resources, present a promising opportunity to enhance the quality and performance of zoysiagrass. This review surveys the recent molecular genetic discoveries in zoysiagrass species, with a focus on elucidating plant responses to various abiotic and biotic stresses. Furthermore, this review explores the notable advancements in gene function exploration to reduce the maintenance demands of zoysiagrass cultivation. In addition, we discuss the achievements and potential of contemporary molecular and genetic tools, such as omics approaches and gene editing technologies, in developing zoysiagrass cultivars with desirable traits. Overall, this comprehensive review highlights future strategies that may leverage current molecular insights to accelerate zoysiagrass improvement and further promote sustainable turf management practices.

MEMS Micromirror Actuation Techniques: A Comprehensive Review of Trends, Innovations, and Future Prospects

Micromirrors have recently emerged as an essential component in optical scanning technology, attracting considerable attention from researchers. Their compact size and versatile capabilities, such as light steering, modulation, and switching, are leading them as potential alternatives to traditional bulky galvanometer scanners. The actuation of these mirrors is critical in determining their performance, as it contributes to factors such as response time, scanning angle, and power consumption. This article aims to provide a thorough exploration of the actuation techniques used to drive micromirrors, describing the fundamental operating principles. The four primary actuation modalities—electrostatic, electrothermal, electromagnetic, and piezoelectric—are thoroughly investigated. Each type of actuator’s operational principles, key advantages, and their limitations are discussed. Additionally, the discussion extends to hybrid micromirror designs that combine two types of actuation in a single device. A total of 208 closely related papers indexed in Web of Science were reviewed. The findings indicate ongoing advancements in the field, particularly in terms of size, controllability, and field of view, making micromirrors ideal candidates for applications in medical imaging, display projections, and optical communication. With a comprehensive overview of micromirror actuation strategies, this manuscript serves as a compelling resource for researchers and engineers aiming to utilize the appropriate type of micromirror in the field of optical scanning technology.

Estimating permeability of rock fracture based on geometrical aperture using geoelectrical monitoring

The permeability of rock fracture is essential for fluid flow and storage stability in subsurface engineering and geological fluid resource development. Estimating this permeability using geoelectrical monitoring offers a promising approach. However, quantitatively interpreting the relationship between the resistivity (ρ) and permeability (k) in saturation zone is limited by the scarcity of rock-physical models for rock fracture. In this study, the three-dimensional (3-D) fractures, including six groups of fractal dimensions, 25 fracture apertures and six contact areas, were generated using the Weierstrass function method. The resistivity and the k-ρ relationship in these 3-D fractures were investigated through experiments and numerical simulations. Then, the effects of aperture, fractal dimension, and contact area on resistivity were examined. The results show that the resistivity is dominated by contact area when the aperture is below a critical fracture aperture, and by fracture aperture when it is above the critical fracture aperture. Additionally, higher fractal dimensions are found to increase the critical fracture aperture. An empirical formula for describing the k-ρ relationship is established. This study demonstrates that geoelectrical monitoring has potential as a long-term technology for evaluating rock fracture permeability in subsurface geoengineering projects. Once fracture resistivity is monitored in advance, the empirical formula can be efficiently applied in the field for rapid permeability estimation.

Compare and Contrast of Knowledge Sharing in Virtual Teams in IT Companies and Manufacturing Industries using the Theory of Planned Behavior

The purpose of this research work is to Compare and Contrast of Knowledge Sharing in Virtual teams in IT companies and Manufacturing industries Using the Theory of Planned Behaviour. In this research study, we understand the Theory of Planned Behaviour (TPB) Models with Structural Equation Modeling Methodology. In this research study, we use TOOLS like IBM SPSS (Statistical Package for Social Sciences), IBM AMOS, TABLEAU. Scope of Virtual Teams Though virtual teams hope deeply on information and communication technology but it is not just circumscribed to the IT industry. Today almost every industry sector extending from construction, academics, manufacturing, non-profit, automotive and healthcare and to retail are promoting virtual teams. From corner to corner of the world, on one hand loftier organizations like Hewlett Packard, Whirlpool, Texas Instruments, British Petroleum etc with their gigantic possessions and proficiencies fascinated on the doles of virtual teams to strengthen their efficiency and services to customer. Fundamentally all principal occupations or job roles like Research and development, engineering, finance, sales, logistics, business development and Human resources can be consummated in a virtual atmosphere. As Covid 19 affected the globe and made a huge loss, virtual teams supported the tantrum hence letting the company employees not to fail in performing their job roles.

Review on Recent Advances of Nickel Sulfide Nano Electrocatalysts for Hydrogen Evolution

AbstractHydrogen is an important energy carrier without carbon emissions. To achieve a carbon‐neutral world, the demand for hydrogen is very significant. In the process of producing green hydrogen, water splitting using electrocatalysts is a desirable process among many methods. The ideal electrocatalyst for hydrogen evolution is the platinum group of metals; however, the limitations of high cost and low abundance hinder large‐scale hydrogen production. Hence, researchers are trying to develop materials from more abundant and less expensive. Hence, in this review, we focus on the fundamental principles of hydrogen evolution reaction (HER) and various synthesis methods and strategies. From the material perspective, we focus on nickel sulfide‐based nanomaterials of different phases during the last four years of development. We compared the electrocatalyst parameters concerning the synthesis methods and strategies chosen. Finally, we have also discussed future challenges. Ultimately, by synthesizing the collective knowledge amassed in the field of HER research, this review endeavors to offer a comprehensive resource for researchers, engineers, and policymakers striving to advance hydrogen‐based energy technologies. In doing so, we aspire to foster continued innovation and collaboration toward realizing a sustainable energy future powered by hydrogen.

Exploring Traditional Nepalese Building Techniques and Timber’s Role Structural Integrity

This paper aims to explore traditional Nepalese building construction techniques and the significant role of timber in enhancing the structural integrity and longevity of these buildings. With a long history of utilizing materials that are readily available locally, particularly wood, clay, stone, Nepal a country renowned for its rich architectural legacy has built buildings employing these resources. The study delves into the various traditional building techniques employed in Nepal, including the intricate craftsmanship and cultural significance associated with them. Additionally, it investigates the unique properties of timber that make it an ideal choice for construction in the Nepalese context. The finding talks about the construction of buildings various techniques which are employed to assemble structures. This includes information, on building materials, functional space allocation and the terminologies used in building construction. These terminologies hold value as they are derived from our tradition, in building construction technology. The findings of this research can serve as a valuable resource for architects, engineers, conservationists, and policymakers involved in the restoration and sustainable development of traditional Nepalese buildings.

Nonlinear Stability of Cable-Connected Satellites: A Review of the Combined Effects of Solar Radiation Pressure and Earth’s Magnetic Field

The nonlinear stability of cable-connected satellites in equatorial orbit is crucial for maintaining their operational efficiency and extending their mission duration. This literature review aims to investigate the combined effects of solar radiation pressure and Earth’s magnetic field on the nonlinear stability of cable-connected satellites. We examine the current state of research on the dynamics of cable-connected satellites under the influence of solar radiation pressure and Earth’s magnetic field, focusing on nonlinear stability analysis. The review highlights the key findings, methodologies, and challenges in this research area. Our analysis reveals that the combined effects of solar radiation pressure and Earth’s magnetic field can significantly impact the nonlinear stability of cable-connected satellites, leading to complex dynamics and potential instability. The review identifies areas for future research, emphasizing the need for advanced modeling and simulation techniques to accurately predict and mitigate the effects of these environmental factors on cable-connected satellite systems. This comprehensive review provides a valuable resource for researchers and engineers working on the design and operation of cable-connected satellites in equatorial orbit.

Nanoparticle-reinforced solder alloys: A comprehensive review of recent formulation properties, and mechanical performance

This review presents a comprehensive analysis of the recent formulation of nanoparticle-reinforced solder alloys, focusing on their main properties and improvements in mechanical performance. The introduction provides an overview of solder alloys and the concept of formulating nanoparticle-reinforced solder alloys. The discussion systematically reviews the importance of various properties and critically evaluates the findings from the literature. The review compares and synthesizes the outcomes and insights regarding the impact of nanoparticle addition on the properties and performance of the resulting composite solder alloys. The aim is to identify recent trends, scientific challenges, limitations, and potential breakthroughs in the current formulation of nanoparticle-reinforced solder alloys. The key value of this review lies in the compilation of the latest reports and technical setups, along with the authors' critical analysis and perceptions. This review provides an in-depth understanding and guidance for formulating novel and high-performance nanoparticle-reinforced solder alloys, making it a valuable resource for researchers and engineers in the field of advanced soldering materials.

Epitaxial Growth of Ga2O3: A Review.

Beta-phase gallium oxide (β-Ga2O3) is a cutting-edge ultrawide bandgap (UWBG) semiconductor, featuring a bandgap energy of around 4.8 eV and a highly critical electric field strength of about 8 MV/cm. These properties make it highly suitable for next-generation power electronics and deep ultraviolet optoelectronics. Key advantages of β-Ga2O3 include the availability of large-size single-crystal bulk native substrates produced from melt and the precise control of n-type doping during both bulk growth and thin-film epitaxy. A comprehensive understanding of the fundamental growth processes, control parameters, and underlying mechanisms is essential to enable scalable manufacturing of high-performance epitaxial structures. This review highlights recent advancements in the epitaxial growth of β-Ga2O3 through various techniques, including Molecular Beam Epitaxy (MBE), Metal-Organic Chemical Vapor Deposition (MOCVD), Hydride Vapor Phase Epitaxy (HVPE), Mist Chemical Vapor Deposition (Mist CVD), Pulsed Laser Deposition (PLD), and Low-Pressure Chemical Vapor Deposition (LPCVD). This review concentrates on the progress of Ga2O3 growth in achieving high growth rates, low defect densities, excellent crystalline quality, and high carrier mobilities through different approaches. It aims to advance the development of device-grade epitaxial Ga2O3 thin films and serves as a crucial resource for researchers and engineers focused on UWBG semiconductors and the future of power electronics.

Enhancing the Catalytic Activity of Geranylgeranyl Diphosphate Synthase through Ancestral Sequence Reconstruction and Semirational Design.

Geranylgeranyl diphosphate synthase (GGPPS) is the crucial bottleneck in carotenoid biosynthesis. However, low activity limits the broad application of GGPPS. In this study, OsGGPPS1 in rice was engineered based on ancestral sequence reconstruction (ASR) and semirational design to improve the catalytic performances of existing GGPPS. The better mutant of A22R/A26P with improved enzyme activity was generated based on ASR. Additionally, the improved enzyme activity of mutants as V162A/M218S/F227Y was designed using a semirational design. The combinatorial assembly of the d-OsGGPPS1 mutant (A22R/A26P/V162A/M218S/F227Y) exhibited higher conversion of IPP and each cosubstrate of DMAPP for 9.8-fold in GPP production, GPP for 6.4-fold in FPP production, and FPP for 1.4-fold in GGPP production relative to wild-type OsGGPPS1 at 25 °C, which showed higher conversion than wild-type OsGGPPS1 at temperatures as high as 50 °C. The successful design of OsGGPPS1 was representative of protein engineering, which will shed new light on GGPPS engineering and active plant pigment resource utilization.

Property Enhancement of Recycled Coarse Aggregate and Its Concrete under CO2-Accelerated Curing Treatment.

The poor properties of recycled coarse aggregate (RCA) and recycled coarse aggregate concrete (RCAC) are considered key constraints hindering the reuse of this waste resource in marine engineering. The CO2-based accelerated carbonation method, which utilizes the alkali aggregate properties of RCA to achieve CO2 uptake and sequestration while significantly enhancing its properties, has attracted widespread attention. However, the degree of improvement in the properties of RCA under different initial moisture conditions (IMCs) and aggregate particle sizes (APSs) after CO2-accelerated carbonation remains unclear. Moreover, the quantitative effect of carbonated recycled coarse aggregate (CRCA), which is obtained from RCA samples with the optimal initial moisture conditions, on the improvement of RCAC under optimal accelerated carbonation modification conditions still needs to be studied in depth. For this investigation, a CO2-accelerated carbonation experiment was carried out on RCA samples with different IMCs and APSs, and the variations in the properties of RCA with respect to its IMC and APS were assessed. The degree of accelerated carbonation modification of RCA under different IMCs and APSs was quantified, and the optimal initial moisture conditions for enhancing the properties of the RCA were confirmed. By preparing concrete specimens based on the natural coarse aggregate, RCA, and CRCA with the best initial moisture conditions (considering the same concrete-water proportion), the effect of CRCA on the workability, mechanical properties, and durability of the corresponding concrete specimen was determined. The findings of this study can be used to effectively promote the sustainable development of marine science and engineering in the future and contribute to global dual-carbon goals, which are of great practical significance and scientific value.

Decoding the role of OsPRX83 in enhancing osmotic stress tolerance in rice through ABA-dependent pathways and ROS scavenging

ABSTRACT Plant Class III peroxidases have diverse roles in controlling root hair growth, anther development, and abiotic and biotic stress responses. However, their abiotic stress response mechanism in rice remains elusive. Here, we identified a peroxidase precursor gene, OsPRX83, and investigated its role in enhancing osmotic stress tolerance in rice. We used OsPRX83 overexpression and CRISPR-Cas9-generated mutant lines to elucidate OsPRX83‘s function and expression patterns under stress conditions. The expression of OsPRX83 was induced by H2O2, PEG, NaCl, and ABA treatments. Using qRT-PCR, RNA sequencing, and physiological assays, we demonstrated that overexpression of OsPRX83 enhanced the osmotic and oxidative stress tolerance as compared to the wild-type and mutant seedlings, as evident from the higher survival rates, enhanced peroxidase (POD) and ascorbate peroxidase (APX) activities, and increased ABA sensitivity compared with mutants and wild-type plants. Transcriptome analysis further supported the involvement of OsPRX83 in the ROS scavenging, by modulating the expression of OsDREB1B, OsDREB1E, OsDREB1F, OsDREB1G in response to osmotic treatment. In summary, our study suggests that OsPRX83 plays a pivotal role in enhancing stress tolerance in rice through ABA-dependent pathways and ROS scavenging. Therefore, this study elucidates the function of a novel abiotic stress response gene in rice, thereby may contribute to a new genetic engineering resource for engineering drought-resistant rice varieties.

Field-split preconditioned active-set reduced-space algorithm for complex black oil reservoir simulation at large-scale

Accurate black oil reservoir simulation is important for the understanding of underground resources in hydrology and petroleum reservoir engineering. The success of fast prediction relies on a robust and scalable black oil simulator, which can handle the complex subsurface fluid dynamics with coupling several different physical processes, and meanwhile run efficiently on distributed memory parallel computers. In this work, we introduce a highly parallel simulator to accurately compute the reservoir flow coupling with wells, including some adaptive fully implicit schemes for the temporal discretization, the improved active-set reduced-space algorithm for the nonlinear algebraic system, and several types of field-split methods for preconditioning. This parallel simulator is applied on the domain decomposition framework, which is designed to overcome the computational issues of traditional simulators implemented for personal computers or small workstations. High-resolution reservoir simulation results on the Society of Petroleum Engineers (SPE) comparative solution project or real-field cases are obtained and analyzed, and the parallel performance of the algorithm is studied on a supercomputer with scaling up to 27440 processor cores. The numerical experiments indicate that the proposed black oil simulator is capable of accurately predicting the highly complex physical processes and interactions between wells and the reservoir for full field scale simulation.

Optimizing EV charging stations: a simulation-based approach to performance and grid integration

This study addresses the optimization of electric vehicle (EV) charging stations, focusing on enhancing performance and grid integration through a comprehensive simulation approach. By employing advanced simulation tools in Simulink® and MATLAB®, alongside electrical installation planning with SIMARIS®, we meticulously analyze the charging process, infrastructure requirements, and their implications on the power grid. Our results demonstrate significant improvements in charging station efficiency and reliability, highlighting the effectiveness of our proposed control strategies and harmonic mitigation techniques. Notably, the integration of renewable energy sources emerges as a pivotal factor in reducing operational costs and carbon emissions, furthering the sustainability of EV charging solutions. The research delineates the environmental benefits, emphasizing the reduction of greenhouse gas emissions and enhancement of urban air quality, pivotal in the global shift towards cleaner transportation modes. This work contributes valuable insights into the design and grid integration of EV charging stations, offering a scalable model for future infrastructure development. It serves as a critical resource for engineers, policymakers, and stakeholders in the realm of electric mobility, advocating for a strategic transition to EVs supported by robust and efficient charging infrastructure.

The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster Crassostrea virginica example

AbstractObjectiveIncreasing reliance on numerical simulation models to help inform management and restoration choices benefits from careful consideration of critical early steps in model development. Along the northern coast of the Gulf of Mexico, the eastern oyster Crassostrea virginica fulfills important ecological and economic roles. Using the eastern oyster as an example, we draw on several recent frameworks outlining best practices for model development and application for restoration, conservation, and management.MethodsWe identify priority model questions, outline a conceptual ecological model (CEM) to guide numerical model development, and use this framework to identify uncertainties and research needs.ResultThe CEM uses a nested design, identifying explicit vital rates, processes, attributes, and outcomes for the species (oysters), population, and metapopulation (i.e., network of populations) levels in response to drivers of species, population, and metapopulation changes and changing environmental factors. Most management actions related to oyster restoration and harvest affect population attributes directly, but many coastal management actions and changes (i.e., climate change and coastal and water resource engineering) impact environmental factors that alter vital rates and attributes of oysters, populations, and metapopulations.ConclusionInvestment in studies targeting individual oyster‐ and population‐level multi‐stressor responses (filtration, respiration, growth, and reproduction) and improving hydrodynamic and environmental models targeting drivers that influence metapopulation vital rates and attributes (i.e., connectivity and substrate persistence) would contribute to reducing uncertainties. Development of numerical models covering the entire oyster life cycle and connectivity of populations using hydrodynamic models of current and predicted conditions to provide key abiotic and biotic factors influencing larval movement, recruitment, and on‐reef oyster vital rates would assist in balancing the goals of conservation, restoration, and fisheries management of this foundational estuarine species.

Recent advances in crack detection technologies for structures: a survey of 2022-2023 literature

IntroductionCracks, as structural defects or fractures in materials like concrete, asphalt, and metal, pose significant challenges to the stability and safety of various structures. Addressing crack detection is of paramount importance due to its implications for public safety, infrastructure integrity, maintenance costs, asset longevity, preventive maintenance, economic impact, and environmental considerations.MethodsIn this survey paper, we present a comprehensive analysis of recent advancements and developments in crack detection technologies for structures, with a specific focus on articles published between 2022 and 2023. Our methodology involves an exhaustive search of the Scopus database using keywords related to crack detection and machine learning techniques. Among the 129 papers reviewed, 85 were closely aligned with our research focus.ResultsWe explore datasets that underpin crack detection research, categorizing them as public datasets, papers with their own datasets, and those using a hybrid approach. The prevalence and usage patterns of public datasets are presented, highlighting datasets like Crack500, Crack Forest Dataset (CFD), and Deep Crack. Furthermore, papers employing proprietary datasets and those combining public and proprietary sources are examined. The survey comprehensively investigates the algorithms and methods utilized, encompassing CNN, YOLO, UNet, ResNet, and others, elucidating their contributions to crack detection. Evaluation metrics such as accuracy, precision, recall, F1-score, and IoU are discussed in the context of assessing model performance. The results of the 85 papers are summarized, demonstrating advancements in crack detection accuracy, efficiency, and applicability.DiscussionNotably, we observe a trend towards using modern and novel algorithms, such as Vision Transformers (ViT), and a shift away from traditional methods. The conclusion encapsulates the current state of crack detection research, highlighting the integration of multiple algorithms, expert models, and innovative data collection techniques. As a future direction, the adoption of emerging algorithms like ViT is suggested. This survey paper serves as a valuable resource for researchers, practitioners, and engineers working in the field of crack detection, offering insights into the latest trends, methodologies, and challenges.