Construction Method Research Articles

An Approach to Distributed Systems from Orderings and Representability

In the present paper, we propose a new approach on ‘distributed systems’: the processes are represented through total orders and the communications are characterized by means of biorders. The resulting distributed systems capture situations met in various fields (such as computer science, economics and decision theory). We investigate questions associated to the numerical representability of order structures, relating concepts of economics and computing to each other. The concept of ‘quasi-finite partial orders’ is introduced as a finite family of chains with a communication between them. The representability of this kind of structure is studied, achieving a construction method for a finite (continuous) Richter–Peleg multi-utility representation.

Assessment of mechanical and durability properties of FA-GGBS based lightweight geopolymer concrete

The relentless consumption of natural aggregates and cement in concrete due to rapid construction has resulted in the exhaustion of natural resources; consequently, it's vital to create environment friendly building materials and implement sustainable construction methods. The development of geopolymer concrete (GPC) is a step towards the utilization of by-products. This study aims to prepare and assess the durability and mechanical characteristics of fly ash (FA) and ground-granulated blast furnace slag (GGBS)-based lightweight geopolymer concrete (LWGC). Utilizing sintered fly ash aggregate (SFA) in GPC is one such approach that can lower the usage of regular cement and natural aggregates. In the present investigation a total of six GPC mixes were prepared with varying alkaline activator to binder (AA/B) ratios of 0.3–0.8. The results shows that the AA/B ratio and the mechanical characteristics of LWGC samples are inversely related. The mechanical properties exhibits maximum strength at the lowest AA/B ratio. The LWGC achieved the highest compressive strength (CS) of 48.9 MPa, modulus of elasticity (EM) of 27.3 GPa, split tensile strength (STS) of 3.9 MPa, and direct shear strength of 5.4 MPa after 28 days of ambient curing. The oven dry density (OD) ranged from 1722–1805 kg/m3, satisfying the various codal provisions to be considered a lightweight concrete (LWC). The durability study indicates that for structural applications, the performance is satisfactory, especially in acidic conditions. SEM and EDS analyses also infer strong mechanical and durability characteristics. The obtained results suggests that LWGC is a possible material for structural concrete applications.

Effect of construction method and bench height on particle size segregation during waste rock disposal

ABSTRACT Waste rock segregation and heterogeneity can increase the hydrogeotechnical and geochemical instability of waste rock piles, but characterising segregation quantitatively in the field is difficult because of the large dimensions of these structures. In this study, a discrete element model (PFC3D) was calibrated on two real cases and used to simulate the flow behaviour of waste rock during disposal. The effect of the construction method, the bench height, and additional factors (e.g. mine truck payloads and push velocities) on particle segregation was investigated. Segregation degree and relative particle diameters of waste rock at different locations in the pile were compared to propose practical solutions and reduce segregation and heterogeneity during deposition. Results indicated that simulated bench heights and mine truck payloads had limited effect on segregation. A smaller proportion of large particles in the original waste rock can increase segregation. Lateral disposal and increasing the push velocity tend to reduce segregation.

Making Slum Resettlement More Affordable Through Innovative Techniques

This research paper delves into the pressing issue of slum resettlement in Indore, India, exploring innovative techniques to make such resettlement more affordable. With rapid urbanization, slums have become a prominent feature of many Indian cities, presenting complex challenges related to housing, infrastructure, and socio-economic development. In this paper, we analysis the existing strategies for slum resettlement in Indore and propose innovative techniques to enhance affordability, sustainability, and community engagement in the resettlement process. Through a combination of qualitative and quantitative research methods, including case studies , existing literature and surveys . we highlight the potential of innovative approaches involves the use of eco-friendly building materials and construction methods to create affordable and environmentally sustainable housing solutions, green infrastructure, Modular construction methods , and public-private partnerships to address the affordability gap in slum resettlement. The findings underscore the importance of holistic, community- centered solutions to improve living conditions and foster inclusive urban development in Indore and beyond. The urgent need for sustainable solutions is underscored by the detrimental effects of slum living on residents health, well-being, and socio-economic prospects. Innovative approaches hold the potential to mitigate these challenges while fostering inclusive urban development. Keywords : Slum Resettlement , Affordable , Innovative Techniques .

Dynamic assessment of the abatement effects of the low-carbon practices in the prefabricated building supply chain

PurposePrefabricated buildings (PBs) have proven to effectively mitigate carbon emissions in the construction industry. Existing studies have analyzed the environmental performance of PBs considering the shift in construction methods, ignoring the emissions abatement effects of the low-carbon practices adopted by participants in the prefabricated building supply chain (PBSC). Thus, it is challenging to exploit the environmental advantages of PBs. To further reveal the carbon reduction potential of PBs and assist participants in making low-carbon practice strategy decisions, this paper constructs a system dynamics (SD) model to explore the performance of PBSC in low-carbon practices.Design/methodology/approachThis study adopts the SD approach to integrate the complex dynamic relationship between variables and explicitly considers the environmental and economic impacts of PBSC to explore the carbon emission reduction effects of low-carbon practices by enterprises under environmental policies from the supply chain perspective.FindingsResults show that with the advance of prefabrication level, the carbon emissions from production and transportation processes increase, and the total carbon emissions of PBSC show an upward trend. Low-carbon practices of rational transportation route planning and carbon-reduction energy investment can effectively reduce carbon emissions with negative economic impacts on transportation enterprises. The application of sustainable materials in low-carbon practices is both economically and environmentally friendly. In addition, carbon tax does not always promote the implementation of low-carbon practices, and the improvement of enterprises' environmental awareness can further strengthen the effect of low-carbon practices.Originality/valueThis study dynamically assesses the carbon reduction effects of low-carbon practices in PBSC, informing the low-carbon decision-making of participants in building construction projects and guiding the government to formulate environmental policies.

Designing efficient randstrobes for sequence similarity analyses.

Substrings of length k, commonly referred to as k-mers, play a vital role in sequence analysis. However, k-mers are limited to exact matches between sequences leading to alternative constructs. We recently introduced a class of new constructs, strobemers, that can match across substitutions and smaller insertions and deletions. Randstrobes, the most sensitive strobemer proposed in [Sahlin, 2021a], has been used in several bioinformatics applications such as read classification, short read mapping, and read overlap detection. Recently, we showed that the more pseudo-random the behavior of the construction (measured in entropy), the more efficient the seeds for sequence similarity analysis. The level of pseudo-randomness depends on the construction operators, but no study has investigated the efficacy. In this study, we introduce novel construction methods, including a Binary Search Tree (BST)-based approach that improves time complexity over previous methods. To our knowledge, we are also the first to address biases in construction and design three metrics for measuring bias. Our evaluation shows that our methods have favorable speed and sampling uniformity compared to existing approaches. Lastly, guided by our results, we change the seed construction in strobealign, a short-read mapper, and find that the results change substantially. We suggest combining the two results to improve strobealign's accuracy for the shortest reads in our evaluated datasets. Our evaluation highlights sampling biases that can occur and provides guidance on which operators to use when implementing randstrobes. All methods and evaluation benchmarks are available in a public Github repository at https://github.com/Moein-Karami/RandStrobes. The scripts for running the strobealign analysis are found at https://github.com/NBISweden/strobealign-evaluation.

Low-Carbon Logistics Distribution Vehicle Routing Optimization Based on INNC-GA

In order to tackle the issue of carbon emissions in logistics and distribution, a vehicle routing model was proposed with the aim of minimizing the overall cost, which includes the vehicle’s fixed cost, transportation costs, and carbon emission costs. An enhanced genetic algorithm, based on a modified Nearest Neighbor Construction (NNC) method, was developed to solve this model. A comparative analysis was conducted using the Solomon dataset to study the impact of carbon emissions on vehicle routing optimization, comparing scenarios with and without considering carbon emission costs. The research findings revealed that the Improved NNC (INNC) method exhibited faster convergence compared with the random generation and random insertion methods. Despite a slight increase of 0.5127% in transportation cost when factoring in carbon emission costs, there was a decrease of 4.6914% in carbon emission costs and 0.3578% in total cost. These results offer theoretical insights and empirical evidence to inform the development of models for the logistics industry in the context of a low-carbon economy.

Construction health indicator using physically-informed 1D-WGAN-GP joint attention LSTM-DenseNet method

In data-driven prognosis methods, the accuracy of predicting the remaining useful life (RUL) of mechanical systems is predominantly contingent upon the efficacy of system health indicators (HI), typically amalgamated from statistical features derived from collected signals. Nevertheless, the majority of extant HI are beset by two principal shortcomings: (1) during traditional data denoising processes, degradation information from raw data is prone to loss owing to the lack of incorporation of the true physical properties of the data; and (2) the performance evaluation of constructed HI is imbalanced due to the influence of network structures on single models, often resulting in strong performance in only one or two indicators. To overcome such shortcomings, a mechanical health indicator construction method based on physical properties was proposed, termed 1D-WGAN-GP Joint attention LSTM-DenseNet. Firstly, artificial sample data is generated by analyzing the physical properties of the original dataset, which is then used to train the 1D-WGAN-GP model to achieve data denoising. Subsequently, the fusion of the attention LSTM (A-LSTM) network and DenseNet network is utilized to extract crucial feature vectors of HI under varying health conditions from the denoised data. Finally, the extracted feature vectors are used to construct system HI using the Euclidean distance method, and these indicators are used for predicting the system’s RUL. The results indicate that the proposed method outperformed traditional methods in terms of denoising effectiveness. Further, through ablation experiment analysis, the HI constructed by the proposed method demonstrated obvious complementarity in terms of monotonicity, correlation, robustness, and comprehensive evaluation. In RUL prediction applications, the proposed method also exhibited good performance, thereby validating its effectiveness.

Innovative Three-Row Pile Support System of Ultra-Deep Foundation Pit and Cooperative Construction Technology with Basement for High-Rise Tower Structures

This paper proposes the structural design and calculation model of stepped three-row pile and verifies its antioverturning and antisliding stability, based on the Xinghe Yabao deep foundation pit project in Shenzhen, China. The three-row pile model is constructed using finite element software, and the force and deformation of the piles are analyzed. The influence of the direction of the prestressing anchors on the support effect of the three-row pile is investigated by simulating the prestressing anchors in three directions: oblique, horizontal, and vertical. The results show that the combined support effect of the oblique anchor and the three-row pile is the most effective, resulting in the smallest deformation, followed by the horizontal anchor, and the vertical anchor produces the largest deformation. Finally, the innovative construction method of the three-row pile removal and the basement top-down construction method is proposed. The three-dimensional model of the tower building and the basement is established by the finite element software to simulate the structural grading load and the cooperative construction of the supporting structure and the basement structure. The research results have greater engineering application value and significant economic benefits, which could provide reference and guidance for the design and construction of deep foundation pits in similar projects.

Investigation into the seamless construction for hundred-meter scale super-length raft structure based on magnesia expansive agent concrete

This research introduces an innovative construction method based on magnesia expansive agent concrete for the seamless construction of hundred-meter scale super-length raft structures, corroborated by the on-site test. The basic principle of this construction method is to use the pre compression stress generated by magnesia expansive agent to offset temperature and shrinkage stress. A temperature-strain monitoring system was employed to gather data, affirming the technique’s applicability and safety. Through the examination of temperature and strain dispersion trends in super-length raft structure, recommendations for the configuration of temperature-strain sensors have been put forth. Through the scrutiny of the temporal evolution pattern of temperature, the specific temporal and spatial coordinates that warrant particular vigilance during the surveillance of the raft’s inner-surface temperature difference were identified. Upon evaluating the correlation between strain dispersion and strain-temperature differential in the raft’s thickness dimension, a novel temperature control index (the bottom-surface temperature difference) was introduced. The threshold for this metric was established at 30°C, derived from empirical test outcomes conducted on-site. Furthermore, the critical regions for monitoring the bottom-surface temperature difference were specified.

The fractional soliton solutions of dynamical system arising in plasma physics: The comparative analysis

In light of fractional theory, this paper presents several new effective solitonic formulations for the Langmuir and ion sound wave equations. Prior to this study, no previous research has presented the comparision and obtained the generalized fractional soliton solutions of this kind with power law kernel and Mittag-Leffler kernel. The ion sound and Langmuir wave equations are essential in plasma physics, offering insights into the collective behavior of charged particles in plasmas and enabling diagnostics and control of these complex, ionized gas systems. The two distinct fractional order differential operators are substituted for the traditional order derivative to reshape the examined model. The Atangana-Baleanu non-singular and non-local operator and conformable fractional operator are the fractional-order operators that are used to create the fractional complex system equations for Langmuir waves and ion sound. A constructive approach new auxiliary equation method utilizes to obtain the exact analytical soliton solutions for ion sound and Langmuir wave equation. A wide range of soliton solutions is obtained, including mixed complex solitary shock solutions, singular solutions, mixed shock singular solutions, mixed trigonometric solutions, mixed singular solutions, exact solutions, mixed periodic solutions, and mixed hyperbolic solutions, dark soliton, bright soliton, trigonometric solutions, periodic results, and hyperbolic results. The solitons solution of the ion sound and Langmuir wave equations lies in their ability to maintain wave stability, their role in modeling wave propagation and nonlinear effects, their potential use as diagnostic tools, and their relevance in wave-particle interactions in plasma physics. The solitons provide a valuable framework for understanding the behavior of waves in plasmas and offer insights into the complex dynamics of these charged particle systems. A graphical comparison analysis of a few solutions is also shown here, taking into account appropriate parametric values through the use of the software package. Moreover, the results of this study have important implications for Hamilton's equations and generalized momentum, where solitons are employed in long-range interactions.

The Application of 3D Printing Formwork Technology in Concrete Building Materials

Concrete 3D printing technology is a prime example of contemporary digital manufacturing, showcasing its efficiency and automation in the realm of construction. Compared to traditional construction methods, the characteristics of labor-saving and formwork-free in 3D printing technology have brought changes to the construction personnel structure and forming process. Enhancing the flexibility of concrete materials and 3D printing technology are two major areas of concentration, along with promoting the wider application of 3D printing in the construction industry. An extensive review of the advancements in concrete 3D printing technology is given in this paper. The mechanical, printable, buildable, and rheological properties of concrete materials that are suitable for 3D printing are also discussed. The study also shows how 3D printing formwork technology is frequently used in decorative elements and atypically shaped projects. The goal is to offer informative analysis and practical tools for further research and advancements in 3D printed concrete technology. The study's overall findings emphasize how important it is to improve 3D printing technology's compatibility with concrete materials. By tackling essential performance criteria and exploring creative uses, we can unlock the complete potential of concrete 3D printing, which will result in notable progress within the construction sector.

Construction and Exploration of Experimental Teaching Content in Software Engineering from a Systems Theory Perspective

Software engineering, as a branch of traditional computer science, distinguishes itself from other computer-related disciplines by its emphasis on practical application. Experimental teaching in software engineering, integral to professional education, serves as a crucial means to enhance students’ practical skills. The content of experimental teaching, serving as a vessel for such instruction, plays a pivotal role in the holistic development of students. Addressing the current fragmented state of experimental teaching in applied universities, this study introduces a holistic and systematic view based on systems theory. By integrating the fundamental principles and methods of systems theory with the distinctive characteristics of software engineering, this study focuses on analyzing the holistic technology of software implementation and the interrelationships among various technical elements of software systems within the field of software engineering. From a holistic-part-holistic analytical perspective, this research constructs an analytical model for experimental teaching content in software engineering under the lens of systems theory. The study elaborates on the construction method of this model and its specific implementation details from the perspectives of talent cultivation programs, engineering elements, and concentrated practical exercises. Practical evidence indicates that the implementation of this experimental teaching content effectively enhances students’ practical skills in software engineering, elevates students’ recognition of their field of study, boosts their confidence in job placement, and provides robust support for seamless transition from graduation to employment. Furthermore, this study sheds light on the construction of experimental teaching content in computer-related fields in engineering disciplines at other applied universities.

Some implication operators on bounded lattices

In this paper, first we give a construction method for implications by an arbitrary element on bounded lattice. We present some implications obtained from binary operations on the bounded lattices, that is, from basic logic connectives, viz., t-norms, t-conorms and negations. Finally, we examine the main properties of the constructed implications.

Mechanical characteristics of hoisting construction of segmental cantilever assembled box girder bridge

Abstract In order to study the safety of the segmental box girder in the hoisting process, this paper designed the construction method of the gantry crane hoisting segmental box girder in combination with the actual project. By establishing a mathematical model, the mechanical properties of the segmental box girder under two different hoisting schemes were analyzed. Under different load conditions, the lifting analyses, translation analyses and descending analyses of the box girder were carried out respectively, and the deflection and stress corresponding to the box girder were obtained. Considering the displacement and stress results of the box girder under the two hoisting schemes, it was concluded that the hoisting construction of the segmental box girder should give priority to the second hoisting scheme. That is, the hoisting holes were opened at the flange position of the roof. Provide feasible technical support for future construction.

Research on synthesis method of weakly coupled three-translation parallel mechanism with large bearing capacity

Aiming at the problem of poor bearing capacity in the direction of decoupled DOF of weakly coupled three-translation parallel mechanism, a class of new configurations of large load-bearing capacity weakly coupled three-translation parallel mechanisms with closed-loop unit has been proposed in this paper. Based on the screw theory, configuration evolution method, and graphical approach method, the synthesis method of these kinds of mechanisms has been proposed, and the decoupled criterion of this mechanism and the addition conditions of the kinematic pair diagram are given. The synthesis process has been developed to synthesize the single degree of freedom translational decoupled branch chain and 2T coupled branch chain. To better apply the weakly coupled mechanism to large load occasions, a closed-loop unit construction method has been proposed. Based on the theory of singular value decomposition, a theoretical formula for increasing the load-bearing capacity of a mechanism by constructing a closed-loop unit with redundant drives has been derived for the first time. The closed-loop unit is added to the 2T coupled branch chain and the single DOF decoupled branch chain to construct the large load-bearing capacity single DOF decoupled three-translation parallel mechanism. Kinematic analysis and static analysis have been carried out on the synthesized mechanism. The Jacobian matrix of the synthesized mechanism is a block diagonal matrix, and the bearing capacity is significantly stronger than that of the decoupled mechanism, even higher than that of the coupled parallel mechanism. The synthesized weak coupling three translation parallel mechanism with large load bearing characteristics has a good application prospect in the field of high precision and large load bearing.

DeepCraft: imitation learning method in a cointelligent design to production process to deliver architectural scenarios

The recent advancements in digital technologies and artificial intelligence in the architecture, engineering, construction, and operation sector (AECO) have induced high demands on the digital skills of human experts, builders, and workers. At the same time, to satisfy the standards of the production-efficient AECO sector by reducing costs, energy, health risk, material resources, and labor demand through efficient production and construction methods such as design for manufacture and assembly (DfMA), it is necessary to resolve efficiency-related problems in mutual human‒machine collaborations. In this article, a method utilizing artificial intelligence (AI), namely, generative adversarial imitation learning (GAIL), is presented then evaluated in two independent experiments related to the processes of DfMA as an efficient human‒machine collaboration. These experiments include a) training the digital twin of a robot to execute a robotic toolpath according to human gestures and b) the generation of a spatial configuration driven by a human's design intent provided in a demonstration. The framework encompasses human intelligence and creativity, which the AI agent in the learning process observes, understands, learns, and imitates. For both experimental cases, the human demonstration, the agent's training, the toolpath execution, and the assembly configuration process are conducted digitally. Following the scenario generated by an AI agent in a digital space, physical assembly is undertaken by human builders as the next step. The implemented workflow successfully delivers the learned toolpath and scalable spatial assemblies, articulating human intelligence, intuition, and creativity in the cocreative design.

Technological Development and Advances for Constructing and Analyzing Plant Pangenomes.

A pangenome captures the genomic diversity for a species, derived from a collection of genetic sequences of diverse populations. Advances in sequencing technologies have given rise to three primary methods for pangenome construction and analysis: de novo assembly and comparison, reference genome-based iterative assembly, and graph-based pangenome construction. Each method presents advantages and challenges in processing varying amounts and structures of DNA sequencing data. With the emergence of high-quality genome assemblies and advanced bioinformatic tools, the graph-based pangenome is emerging as an advanced reference for exploring the biological and functional implications of genetic variations.

Research Progress and Trend Analysis of Concrete 3D Printing Technology Based on CiteSpace

As an emerging method in engineering construction, concrete 3D printing has experienced rapid development in recent years due to its advantages in terms of automation, digitization, and intelligence. In order to comprehensively understand the research progress of concrete 3D printing technology, the literature on concrete 3D printing technology published in the Web of Science core database from 2014 to 2023 is used as a data source, and the visualization tool CiteSpace is utilized to research and analyze these results from the following aspects: number of publications, collaboration networks, research hotspots, and evolutionary trends. The results show that the number of publications in the field of concrete 3D printing technology has been increasing from year to year, with a gradually accelerating growth rate. The top three journals in terms of publication volume are Construction and Building Materials, Cement and Concrete Composites, and Materials. Research in the field of concrete 3D printing technology is mainly conducted through collaborations among research groups or institutions, while there are relatively fewer interactions among researchers from different institutions, regions, and countries. The current research direction mainly focuses on 3D printing materials, process parameters, and technology. The research content has progressed from initial explorations of concrete 3D printing technology to detailed studies of 3D printing materials and their performance. Overall, the research in this field continues to add further details to our knowledge of concrete 3D printing technology, and its application in engineering is gradually increasing. The automated, digitized, and intelligent construction methods of concrete 3D printing technology serve as a powerful driving force for the transformation and upgrading of the field of architecture.

Features of the Design of Residential Buildings

The article discusses each type of residential and public buildings has its own spatial planning solution, the design of which reflects a rather complex workflow. When designing multi-family residential buildings, economic factors are primarily taken into account. In particular, the construction of residential buildings in Uzbekistan has its own historical tradition. The houses were built in two versions -national and European. These houses mainly consist of houses with separate courtyards. This study employs a qualitative research approach, drawing insights from architectural literature and historical records to examine the design features of residential buildings in Uzbekistan. Data collection involves literature review, analysis of architectural plans, and examination of historical documents. The analysis reveals that the design of multi-family residential buildings is influenced by various factors, including economic considerations, cultural heritage, and historical traditions. In Uzbekistan, the architectural landscape reflects a blend of national and European styles, each with its own spatial planning solutions and design elements. Traditional houses with separate courtyards not only provide privacy and security but also contribute to the overall aesthetics of residential neighborhoods. Additionally, economic factors play a significant role in shaping the design process, with cost-effective construction methods and materials being prioritized in residential building projects.