Areas Of Civil Engineering Research Articles

Bathymetry reconstruction from experimental data using PDE-constrained optimisation

Knowledge of the bottom topography, also called bathymetry, of rivers, seas or the ocean is important for many areas of maritime science and civil engineering. While direct measurements are possible, they are time consuming, expensive and inaccurate. Therefore, many approaches have been proposed how to infer the bathymetry from measurements of surface waves. Mathematically, this is an inverse problem where an unknown system state needs to be reconstructed from observations with a suitable model for the flow as constraint. In many cases, the shallow water equations can be used to describe the flow. While theoretical studies of the efficacy of such a PDE-constrained optimisation approach for bathymetry reconstruction exist, there seem to be few publications that study its application to data obtained from real-world measurements. This paper shows that the approach can, at least qualitatively, reconstruct a Gaussian-shaped bathymetry in a wave flume from measurements of the free surface level at up to three points. Achieved normalised root mean square errors (NRMSE) are in line with other approaches.

Fuzzy Optimization Model for Decision-Making in Single Machine Construction Project Planning

Scheduling for a construction project with a limited number of machines is a critical and well-studied problem. Most studies assume that task processing times are exact; in practice, delays frequently occur, rendering the initial work plan invalid. Therefore, adaptability is crucial to the success of a project. This work introduces a fuzzy optimization model for the planning of construction projects executed simultaneously and having only one backhoe. The model assumes imprecise task processing times, represented by triangular fuzzy sets, that accept delays up to a permitted degree of tolerance. The model solution obtains a fuzzy work plan. This is a robust plan that supports incidents (delays). A method to apply the model was created. The fuzzy model can help construction companies reduce delays in the delivery of their projects and avoid excessive penalties. The model was implemented in the CPLEX solver, which can quickly obtain an optimal solution for small and medium instances. For large instances, the model must be solved with metaheuristics. This scientific contribution is important for future work since it consists of the application of fuzzy optimization in a specific area of civil engineering.

A PZT active sensing method for monitoring prestressing force based on the ultrasonic reflection coefficient

Prestress monitoring is key to ensuring the safety and longevity of post-tensioned prestressed structures. A new method of prestress monitoring, based on piezoceramic transducers, is proposed. Compared to traditional ultrasonic detection, we utilize piezoelectric (PZT) active sensing monitoring, eliminating the need for a specialized ultrasonic probe. First, a relationship model between the signal received energy and loading force is established based on the principle of ultrasonic reflection coefficient at the contact interface. On this basis, we overcome the low signal-to-noise ratio issue associated with the traditional method by employing the time reversal (TR) method. Next, the model parameters were fitted using experimental data. The values of the fitting evaluation metrics, SSE and RMSE, tend to be close to 0, while the R-squared value tends to be close to 1. This indicates the reliability of the model. Finally, the prestressing force validation tests are conducted through unloading tests. The average relative error between the measured and actual values across different paths ranges from 6.85% at the minimum to 15.61% at the maximum. Since the method is related to the proximity of the interface contact, it can be applied in other areas of civil engineering, such as assessing the adhesive strength of composite structures, crack development, and detecting axial stress.

Slurry Infiltrated Fiber Concrete Properties: A Review

“Slurry infiltrated fibrous concrete” refers to a contemporary, high performing fiber-reinforced concrete and infiltrated with a specially designed fiber bed, cement-based slurry. The material has excellent mechanical properties along with high durability and ductility. The SIFCON Laboratory’s research revealed SIFCON to be a unique building material with improved abilities to absorb energy and resist impact, as well as greater ductility and strength. With all these qualities, SIFCON can repair and fortify both reinforced and unreinforced concrete structures. Ductility is currently one of concrete’s most critical characteristics. The issue of brittleness with concrete has been solved by utilizing a high volume of fibers instead of coarse aggregate, which provides stress-resistant properties and increases the ductility of the structural component. However, due to the placement and mixing challenges because of the high volume of fibers’ interlocking action, there is a necessity to design unique production techniques. Since SIFCON compounds are a novel trend in the fields of areas of civil engineering that have a catalytic effect, it is necessary to highlight the few studies that included it so this review paper discusses and presents the behavior of SIFCON under various external loads. The focus is on the effects of the SIFCON mortar type—which substitutes silica fume and/or fly ash for cement—and fiber type—which uses hooked end fiber and micro steel fiber— are the main topic of discussion. The mechanical characteristics and optimal percentages are also reviewed. All previous studies are noted and summaries are made in comprehensive tables, which display the studied parameters and SIFCON mortar mix ratios. In addition to indicating research gaps, for example, future work in this field needs to focus on developing a detailed analytical model that requires the ability to calculate these factors. A better understanding of the SIFCON’s features can serve as a theoretical foundation for future research projects and engineering applications for creating concrete materials for the construction industry.

The unit ratio-extended Weibull family and the dropout rate in Brazilian undergraduate courses.

We propose a new family of distributions, so-called the unit ratio-extended Weibull family ([Formula: see text]). It is derived from ratio transformation in an extended Weibull random variable. The use of this transformation is a novelty of the work since it has been less explored than the exponential and has not yet been studied within the extended Weibull class. Moreover, we offer a valuable alternative to model double-bounded variables on the unit interval. Five [Formula: see text] special models are studied in detail, namely the: i) unit ratio-Gompertz; ii) unit ratio-Burr XII; iii) unit ratio-Lomax; v) unit ratio-Rayleigh, and vi) unit ratio-Weibull distributions. We propose a quantile-parameterization for the new family. The maximum likelihood estimators (MLEs) are presented. A Monte Carlo study is performed to evaluate the behavior of the MLEs of unit ratio-Gompertz and unit ratio-Rayleigh distributions. This last model has closed-form and approximately unbiased MLE for small sample sizes. Further, the [Formula: see text] submodels are adjusted to the dropout rate in Brazilian undergraduate courses. We focus on the areas of civil engineering, economics, computer sciences, and control engineering. The applications show that the new family is suitable for modeling educational data and may provide effective alternatives compared to other usual unit models, such as the Beta, Kumaraswamy, and unit gamma distributions. They can also outperform some recent contributions in the unit distribution literature. Thus, the [Formula: see text] family can provide competitive alternatives when those models are unsuitable.

Research on the fiber reinforced polymer in new construction and in strengthening of steel structures

Due to their distinct advantages, fiber-reinforced polymer (FRP) composites gained popularity during the past 200 years in civil engineering area, including high durability, corrosion resistance, light weight, high modulus strength, and high quality of corrosion resistance. These ranges of features led FRP composites find their application in mechanical, structure, civil engineering, and other industries areas. Traditional construction materials such as steel cannot feed the desirable expectation, and these high-tech materials are becoming more and more popular to replace the traditional materials. By analyzing experiments conducted by other scholars, the following essay will provide a critical review of FRP’s use in strengthening steel structures, not only for its advantages but also for its disadvantages and material properties. After the research, more experiments and theoretical research should be done to let FRP strengthen-materials be accepted and widely used in industries, as FRP materials still have some drawbacks.

Machine Learning-Based Prediction of the Compressive Strength of Brazilian Concretes: A Dual-Dataset Study.

Lately, several machine learning (ML) techniques are emerging as alternative and efficient ways to predict how component properties influence the properties of the final mixture. In the area of civil engineering, recent research already uses ML techniques with conventional concrete dosages. The importance of discussing its use in the Brazilian context is inserted in an international context in which this methodology is already being applied, and it is necessary to verify the applicability of these techniques with national databases or what is created from national input data. In this research, one of these techniques, an artificial neural network (ANN), is used to determine the compressive strength of conventional Brazilian concrete at 7 and 28 days by using a database built through publications in congresses and academic works and comparing it with the reference database of Yeh. The data were organized into nine variables in which the data samples for training and test sets vary in five different cases. The eight possible input variables were: consumption of cement, blast furnace slag, pozzolana, water, additive, fine aggregate, coarse aggregate, and age. The response variable was the compressive strength of the concrete. Using international data as a training set and Brazilian data as a test set, or vice versa, did not show satisfactory results in isolation. The results showed a variation in the five scenarios; however, when using the Brazilian and the reference data sets together as test and training sets, higher R2 values were obtained, showing that in the union of the two databases, a good predictive model is obtained.

Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains

This article describes a teaching strategy that synergizes computing and management, aimed at the running of complex projects in industry and academia, in the areas of civil engineering, physics, geosciences, and a number of other related fields. The course derived from this strategy includes four parts: (a) Computing with a selected set of modern paradigms—the stress is on Control Flow and Data Flow computing paradigms, but paradigms conditionally referred to as Energy Flow and Diffusion Flow are also covered; (b) Project management that is holistic—the stress is on the wide plethora of issues spanning from the preparation of project proposals, all the way to incorporation activities to follow after the completion of a successful project; (c) Examples from past research and development experiences—the stress is on experiences of leading experts from academia and industry; (d) Student projects that stimulate creativity—the stress is on methods that educators could use to induce and accelerate the creativity of students in general. Finally, the article ends with selected pearls of wisdom that could be treated as suggestions for further elaboration.

An alternative method for the particle size distribution: Image processing

Granular soils are used in different areas of civil engineering due to their easy accessibility and low cost as a material. The sieve analysis method, which has been conducted in rock physics measurements for many years, has been practicing determining the particle size distributions for those materials. In this study, a method based on image analysis technique has been developed as an alternative to traditional sieve analysis method for determining the particle size distribution in granular soils. This technique based on image processing to determine particle distributions via the experimental setup that consist of a camera, tripod, light box and mechanical shaking apparatus. In order to assess the reliability of this technique, each sample was subjected to traditional sieve analysis and the results of both analysis methods were compared. In conclusion, it was observed that the results obtained with the image processing technique had a minimum 95.22% closeness with the sieve analysis experiment data.

Automation of haulers for debris removal in tunnel construction

AbstractTunnel construction is one of the areas of civil engineering where automation systems can increase both safety and productivity. That is why, to promote a continuous improvement and optimization of construction processes, the implementation of intelligent transport systems and, specifically, autonomous vehicles has been proposed as a catalyst for public works construction activity, including tunnels, reducing personnel, and operation costs, as well as improving safety. Under this scope, this paper presents the development of the automation system for a 25‐ton hauler truck, focusing on the task of removing debris from public works, including tunnels. This automation system has been designed, developed, and tested under real conditions in the facilities of two companies dedicated to civil engineering works, including vehicle guidance with and without gobal positioning system, obstacle detection, and tele‐operation for load/unload tasks. The main novelty of the system is the capacity of easy integration into the production system of the works, with a capacity to switch between manual, tele‐operation, or autonomous driving modes, and with specific sensors and control systems for combining indoor and outdoor navigation. The presented work includes the description of the automation of the vehicle, the general architecture, the environment perception, and the tele‐operation capacity, including indoor navigation and obstacle detection algorithms. The proposed system has been implemented and tested in real conditions, demonstrating the performance of the system and the benefit of the automation for this application.

Numerical Investigation of Integral Abutment Bridges Using Finite Element Approach with Consideration of Live Load and Temperature of the Materials

The structural research is very important area of civil engineering. There is a need of research as a cumulative analysis for thermal impact on civil structures like bridges. There are numerous materials elements of civil engineering research for the Advance material, as chemical composition research to improve strength of concrete materials, contamination studies of steel material used in many huge structures, thermal loading studies etc. Hence, this paper analyzes and presents the possible causes for failure of material of Integral Abutment Bridges and substructures. Paper further presents the numerical analysis as well as finite element analysis to gain insight into the interactions between integral abutments, approach fills, foundation piles and foundation soils. The finite element analyses indicate appreciable rotations occur in integral abutments, resulting in the shear and moment reductions in the piles. Further, various elements of material are discussed which may impact the sustainability of bridges along with a numerical analysis to avoid structural failures. This study can help for researchers to identify the maintenance paradigms for bridge structures to avoid sudden failure incidences.

Developments and Applications of Neutrosophic Theory in Civil Engineering Fields: A Review

Neutrosophic theory can effectively and reasonably express indeterminate, inconsistent, and incomplete information. Since Smarandache proposed the neutrosophic theory in 1998, neutrosophic theory and related research have been developed and applied to many important fields. Indeterminacy and fuzziness are one of the main research issues in the field of civil engineering. Therefore, the neutrosophic theory is very suitable for modeling and applications of civil engineering fields. This review paper mainly describes the recent developments and applications of neutrosophic theory in four important research areas of civil engineering: the neutrosophic decision-making theory and applied methods, the neutrosophic evaluation methods and applications of slope stability, the neutrosophic expressions and analyses of rock joint roughness coefficient, and the neutrosophic structural optimization methods and applications. In terms of these research achievements in the four areas of civil engineering, the neutrosophic theory demonstrates its advantages in dealing with the indeterminate and inconsistent issues in civil engineering and the effectiveness and practicability of existing applied methods. In the future work, the existing research results will be further improved and extended in civil engineering problems. In addition, the neutrosophic theory will also have better application prospects in other fields of civil engineering.

Preface

The International Conference on Innovative Technology for Smart Construction Materials and Sustainable Infrastructure (ITSCMSI-2022) was successfully held on October 14th and 15th 2022. The ITSCMSI-2022 was organized by Department of Civil Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, A.P, India. Innovative and sustainable development is one of the leading civilization ideas in the field of Civil Engineering that has gained importance among the researchers in the recent past. In keeping view that the primary objective of the International Conference on Innovative Technology for Smart Construction Materials and Sustainable Infrastructure (ITSCMSI-2022) to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the Civil Engineering in line with the conference theme “Building the World with Innovative Structures towards a Sustainable Future”. The scope of the conference is to gather scientists, practitioners, members of technical committees and users of technical recommendations, to jointly at the same place discuss and envision the future sustainable development of materials, systems and structures in a holistic, global way. Thus, it aims at providing a premier platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Civil Engineering.The conference focuses on latest research in different areas of civil engineering with special emphasis on sustainable construction practices. The main theme of the conference is “Building the World with Innovative Structures towards a Sustainable Future” and it is divided into seven sub-themes:1. Smart materials and sustainable construction,2. Sustainable infrastructure in Structural Engineering3. Sustainable infrastructure in Geotechnical and Transportation Engineering4. Sustainability in Environmental Engineering5. Sustainability in Irrigation, Water Resources and Management6. Sustainability in Construction Management, and7. Remote Sensing and GIS Applications in SustainabilityThe ITSCMSI-2022 received about 120 abstracts from various fields of Civil Engineering and out of which 93 full-length papers were received. The research manuscripts deal with Innovative Technologies and Sustainable Materials in Civil Engineering.Hundreds of attendees, paper presenters, researchers and students have been benefited in many ways from this conference. About 51 scientific papers were presented in the conference by the authors from various countries through online platform. Four eminent and well distinguished experts in the field of civil engineering were invited to deliver their keynote speeches and share their knowledge along with their rich experience in the applications of the advancements in sustainable materials and infrastructure in civil engineering to the participants.In summary, the success of the conference is a team effort. This conference could not be organized without the dedicated efforts from all our committee members and hence I am grateful to all the committee members who worked very hard to make this event a successful one. We would also like to thank all the authors who have submitted their papers to the conference and like to thank the editors and reviewers who have contributed to the thorough review process thereby ensuring quality publication of the conference proceedings. We hope that you will find this conference thought provoking and engrossing, and you had a valuable experience by sharing ideas with others at this conference.SincerelyDr. Hanuma KasaganiCo-ConvenerITSCMSI -2022Email: hanumakasagani@vrsiddhartha.ac.inList of Committes are available in this Pdf.

Semi-active structural vibrations control with magneto-rheological damper based on the hybrid fuzzy sliding mode controller

Recently, the semi-active control of structural vibration has demonstrated its ability to preserve human life and keep structures safe during earthquakes. In the civil engineering area, the literature is full of investigation in both numerical and experimental research in which the Magneto-Rheological damper is the most used device. This paper investigates the semi-active control of three scaled excited structures. The proposed control is assured by a Magneto-Rheological damper controlled using a hybrid Fuzzy Sliding Mode controller. Although, a Clipped optimal algorithm is proposed to calculate the required current for the damper operating. Otherwise, the robustness of the suggested controller is proved by the obtained numerical results of the seismic excited scaled structure. Therefore, the tested structure is subjected to four time-scaled earthquake records. Finally, the effectiveness of the proposed semi-active control strategy in mitigating earthquake structural vibration is shown clearly in the compared controlled and uncontrolled responses. The simulation results show that the peak reduction reaches 65% under the 2011 Tōhoku earthquake. In addition, the performance indices prove the robustness of the proposed strategy.

USO DE CONTEINERS NA CONTRUÇÃO CIVIL

The area of civil engineering is in continuously growing and news technologies of construction to suggest to increase efficiency and economy. Therefore, in that thought that construction using containers introduce yourself more advantageous, for besides offer these advantages, since it has an ecologically sustainable material. This technique is little used in our country, on the other hand, reuse this material that could be destined for inappropriate disposal in nature, and also, reduces the amount of raw material in all stages of the work. Thus, this article intends to demonstrate the potential of this material, as a constructive method, which enables greater viability when compared to traditional housing methods, to proving the applicability and advantages of containers in civil construction. This work was founded your research study based on bibliographic data, demonstrating some situations and advantages where this type of material was implemented in construction. This way it was possible to conclude that despite being a quick way, clean and sustainable, the method needs to be more widespread so that people can use it properly.

Training of the feed forward artificial neural networks using dragonfly algorithm

One of the most important parts of an artificial neural network (ANN) which affects performance is training algorithms. Training algorithms optimize the weights and biases of the ANN according to the inputs–outputs pattern. Two types of training algorithms are widely used: Gradient methods and meta-heuristic methods. Gradient methods are effective in training the ANN. But they have some disadvantages. The main disadvantage of gradient methods is premature convergence. Secondly, the performance of gradient methods highly depends on the initial parameters and positions. Thirdly, they can easily get stuck in local optima. To overcome these disadvantages, this article presents a new hybrid algorithm (DA-MLP) to train the feed-forward multilayer neural networks (MLP) using the dragonfly algorithm. The dragonfly algorithm optimizes the weights and biases of the MLP. In the experiments, one real-world problem in the civil engineering area and eight classification datasets were used. To verify the success of the DA-MLP algorithm, the results of the DA-MLP algorithm were compared with the results of four algorithms (the BAT-MLP based on the bat optimization algorithm, the SMS-MLP based on the states of matter search optimization algorithm, the PSO-MLP based on the particle swarm optimization algorithm, and the backpropagation (BP) algorithm). The experimental study showed that the DA-MLP algorithm is more efficient than the other algorithms.

Education

This issue contains two papers in the Education section. The first paper, “Computed Origami Tomography,” is presented by Axel Kittenberger, Leonidas Mindrinos, and Otmar Scherzer. The paper is motivated by advances in scanner technology and the increased sophistication of the accompanying 3D image reconstruction methods. The authors have implemented the idea of constructing a system that eliminates dangerous X-ray radiation but preserves the main features of CT scanners. Such a system is safe to use in training. The proposal is to replace the X-rays with optical illumination and detection of thin objects that are translucent in the visible spectrum. The origami figures, which are made out of thin sheets of cellulose acetate, become an attractive surrogate model for the objects in real CT scans. The first part of the paper contains an explanation of the physics assumptions and laws on which the X-ray tomography is based. The theory of light-ray propagation is similar to the theory of X-rays and provides a geometric optics approximation. The second part of the paper contains instructions for building a crafting device that can record digital images of small 3D objects at different rotation directions. Open source software for reconstructing the 3D object from the collected images is provided. An introduction to cryo-imaging and cryo-EM data provides additional insight into new directions in computerized tomography (``cryo” means “cold” in Greek). In this context, “cryo” refers to the process of immobilizing a sample specimen (a virus or a molecular cluster in a cell) by freezing it. The authors maintain that the described setup allows for conducting tomographic imaging experiments even at home. They have offered a training course along the lines of this paper multiple times and have produced a YouTube video explaining the basic ideas (the link to the video is included in the reference list). For those who wish to experiment with computational tomographic reconstructions without assembling the device, the authors have a database of several objects together with their tomographic measurements. The paper is written in an engaging style, focusing on the main ideas and pointing to further references. The second paper, authored by Bernardo Gouveia and Howard A. Stone, is “Generating Resonant and Repeated Root Solutions to Ordinary Differential Equations Using Perturbation Methods.” The paper highlights a general, very flexible, yet relatively simple method to construct a resonant or repeated root solution to ordinary differential equations (ODEs). The idea of the method is to introduce a small parameter $\epsilon$ in the forcing function and then to construct a suitable Taylor expansion of a known homogeneous solution in that parameter. Next to the natural desire to analyze any situation mathematically, unwanted oscillations are highly relevant in civil engineering and other areas. Therefore, software systems provide solutions addressing resonance, but the results might be cumbersome or not insightful at times. The paper starts with background material on methods to obtain resonant solutions or repeated root solutions to ODEs. Then the authors present seven examples of increasing complexity, on which the ideas are developed and the advocated approach is explained. In the context of some of those examples, the advantages of the method are illustrated by comparison of its solutions to the solutions obtained by Mathematica. The concluding section of the paper contains a more general derivation, which encompasses all of the examples discussed before. The authors assert that the method is beneficial to students as well as to practitioners who come across this type of problem in their work. The paper is written in a clear and deductive manner.

Predicting the Splitting Tensile Strength of Recycled Aggregate Concrete Using Individual and Ensemble Machine Learning Approaches

The application of waste materials in concrete is gaining more popularity for sustainable development. The adaptation of this approach not only reduces the environmental risks but also fulfills the requirement of concrete material. This study used the novel algorithms of machine learning (ML) to forecast the splitting tensile strength (STS) of concrete containing recycled aggregate (RA). The gene expression programming (GEP), artificial neural network (ANN), and bagging techniques were investigated for the selected database. Results reveal that the precision level of the bagging model is more accurate toward the prediction of STS of RA-based concrete as opposed to GEP and ANN models. The high value (0.95) of the coefficient of determination (R2) and lesser values of the errors (MAE, MSE, RMSE) were a clear indication of the accurate precision of the bagging model. Moreover, the statistical checks and k-fold cross-validation method were also incorporated to confirm the validity of the employed model. In addition, sensitivity analysis was also carried out to know the contribution level of each parameter toward the prediction of the outcome. The application of ML approaches for the anticipation of concrete’s mechanical properties will benefit the area of civil engineering by saving time, effort, and resources.

Preface

The need of the era is sustainable development. Sustainable development is the idea that human societies must live, and meet their needs, without compromising the ability of future generations to achieve their requirements. Sustainability is a multidimensional concept that requires a balance of economic, social and environmental equities of development. For engineering processes, this balance can be achieved by ensuring efficiency in resource use and by reducing the environmental impact, without ignoring the technical, technological and financial concerns related to the process. The civil engineering practitioners need to focus on sustainable development issues by emphasizing on the use of green and high-performance materials, applying research and development results timely into practical projects, thus reducing the use of raw materials in manufacturing, as well as treating the waste causing adverse impact on the global environment. In this context, the research studies on sustainability related issues, e.g. (i) application of alternative materials, (ii) material reuse and recycling, (iii) development of environmentally friendly techniques, (iv) efficient use of the space, (v) reuse of structures or its components, could provide good solution. Sustainable development study of civil engineering can guide in actively choosing and taking appropriate measures in construction stage according to the on-site conditions to reduce adverse effects to ecosystem, reducing the inconvenience and trouble to the nearby, and using scientific methods to strengthen the management of construction workers and improve their safety awareness. Our special thanks go to IOP Publishing (IOP Conference Series: Materials Science and Engineering) as our publication partner to publish this volume of conference proceeding of SDCEE-2021, the 1st International Online Conference on Sustainable Development in the areas of Civil Engineering and Electrical Engineering, entitled Sustainable Development in Structural & Transportation Engineering in their prestigious IOP Conference Series. The book covers a variety of multidisciplinary chapters, which would prove to be useful to students, working professionals, practitioners and researchers. List of Conference or Sponsor Logo, List of Committees are available in this pdf.

International Conference on Innovative and Sustainable Technologies in Civil Engineering (ISTCE-2021)

Preface About: The International Conference on Innovative and Sustainable Technologies in Civil Engineering (ISTCE-2021) was successfully held on September 24th and 25th 2021. The ISTCE-2021 was organized by Department of Civil Engineering, Bapatla Engineering College, Bapatla, India. Unfortunately, since July 2021 the 2nd outbreak of the COVID-19 pandemic has caused social distancing regulations and travelling restrictions across India. Therefore, the conference committees decided to change the meeting to virtual format.Innovative and sustainable development is one of the leading civilization ideas in the field of Civil Engineering that has gained importance among the researchers in the recent past. The primary objective of the ISTCE-2021 is to bring academicians, technocrats, engineers, researchers and students to a common platform to share their experience and research results on all the aspects of sustainable Civil Engineering. It also provides a premier interdisciplinary platform to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered, and their solutions adopted in the fields of Sustainable Civil Engineering. The conference focuses on latest research in different areas of civil engineering with special emphasis on sustainable construction practices.List Of Committes, Patrons, Conveners, Co-Conveners, Web & Publicity Committee, Technical Advisory Committee, Organizing Committee, Editorial Committee, Conference Photos these are available in this pdf.