Engineering Analysis Research Articles

Study on slope stability under excavation and water storage based on physical model tests

Understanding the characteristics and mechanism of slope deformation caused by slope excavation and water storage is very important in the stability analysis of slope engineering. Therefore, based on similarity theory, a physical model test of excavation and water storage was established, and the deformation characteristics of the slope (three-stage excavation and five-stage water storage) were studied by using the monitoring technology of multiple measuring devices. The variation characteristics of the displacement, stress and pore water pressure in the slope were revealed. The results show that the contents of cement and yellow sand can regulate the physical, mechanical and hydrological properties and that gypsum and hydraulic oil have an effect on the permeability. Excavation leads to deformation of the rock mass in the middle and lower slope to the outside of the slope. This is attributed to the stress release, and local stress concentration occurs at the foot of the slope after redistribution. Moreover, the rock mass located in the fault zone shows nonglobal movement because the hanging wall rock mass will produce relative dislocation along the fault zone under self-gravity. Under water storage, the slope body is affected by the hydrostatic pressure, and transient compaction deformation occurs first. As water permeates into the slope body, the water weakens the rock mass, resulting in the gradual deformation of the rock mass near the slope surface to the outside of the slope. The above model test results can provide a valuable reference for slopes stability analysis in construction and subsequent operation.

Database of segmentations and surface models of bones of the entire lower body created from cadaver CT scans

The range of applications of digital surface models of the bones in science and industry is wide. Three-dimensional reconstructions of bones are used in biomechanics, biomedical engineering, medical image processing, orthopedics, traumatology, radiology, patient education, anatomy, anthropometry, forensic anthropology, ergonomics, usability and human factors engineering, or accident and injury analysis and prevention. No open access database or repository of skeletal surface models of the full lower extremities exists. Therefore, the objective of this publication was to provide access to consistent complete bone models of the pelvis and lower limbs of multiple subjects, including biometric data. Segmentations and surface models of the bones of the lower extremities of more than twenty subjects were created from open access postmortem whole-body computed tomography scans. The database provides a broad range of applications by giving access to the data of the complete process chain, from the raw medical imaging data through the segmentations to the surface models.

Characterization and Reverse Engineering of Pharmaceuticals: Role of Thermoanalytical Techniques

During pharmaceutical or biopharmaceutical drug product development, one of the most important steps to be followed is characterization and reverse engineering of the drug product. Out of so many characterization tools and orthogonal reverse engineering techniques, thermoanalytical methods are the most useful techniques. Different thermoanalytical techniques are used to identify, quantify and understand the interaction between different polymorphic forms of drug substances and excipients. These techniques are also used to monitor the physical form (amorphous or crystalline) of the drug substance in drug product throughout its manufacturing processes and helps in identifying, omitting or modifying the steps or processes responsible for change in physical or polymorphic form of the drug substance in the finished drug product. Thermoanalytical techniques are not only useful for characterization of small molecules but also extensively applied in analysis of biological samples and nano-formulations. In current scenario, pharmaceutical development specifically during generic drug development the most useful step is the reverse engineering. When reverse engineering of drug product is concerned, thermoanalytical techniques are the best tools to be used to prove the similarity of physico-chemical properties or same state of matter or arrangement of matter between test and reference products. However, in earlier days these techniques were not used as frequently as the other techniques like spectroscopy and chromatography. Various reasons for limited use of thermoanalytical techniques were unavailability of software or compatible hardware, manual sampling process and a tedious process of manual calculation which consumes lots of time. Now a day, due to advancement of technology, automation, use of robotics, and better understanding, and the thermal analysis not only become a powerful tool but also increase the throughput. The present review focuses on some of the most commonly used Thermoanalytical techniques e.g. Differential Scanning Calorimeter (DSC), Thermogravimetric Analysis (TGA), Solution Calorimeter (SC), Thermo Mechanical Analysis (TMA) and Isothermal Titration Calorimeter (ITC) for characterization and reverse engineering of different dosage forms like solid oral dosage forms, injectable formulation, inhalation formulation, ophthalmic formulation, and biosimilar formulation products such as peptides and proteins using specific case studies.

Enhancing prediction of tooth caries using significant features and multi-model classifier

Background Tooth decay, also known as dental caries, is a common oral health problem that requires early diagnosis and treatment to prevent further complications. It is a chronic disease that causes the gradual breakdown of the tooth’s hard tissues, primarily due to the interaction of bacteria and dietary sugars. Results While numerous investigations have focused on addressing this issue using image-based datasets, the outcomes have revealed limitations in their effectiveness. In a novel approach, this study focuses on feature-based datasets, coupled with the strategic integration of Principle Component Analysis (PCA) and Chi-square (chi2) for robust feature engineering. In the proposed model, features are generated using PCA, utilizing a voting classifier ensemble consisting of Extreme Gradient Boosting (XGB), Random Forest (RF), and Extra Trees Classifier (ETC) algorithms. Discussion Extensive experiments were conducted to compare the proposed approach with the chi2 features and machine learning models to evaluate its efficacy for tooth caries detection. The results showed that the proposed voting classifier using PCA features outperformed the other approaches, achieving an accuracy, precision, recall, and F1 score of 97.36%, 96.14%, 96.84%, and 96.65%, respectively. Conclusion The study demonstrates that the utilization of feature-based datasets and PCA-based feature engineering, along with a voting classifier ensemble, significantly improves tooth caries detection accuracy compared to image-based approaches. The achieved high accuracy, precision, recall, and F1 score emphasize the potential of the proposed model for effective dental caries detection. This study provides new insights into the potential of innovative methodologies to improve dental healthcare by evaluating their effectiveness in addressing prevalent oral health issues.

An analysis of the influence of a generic building on tornadic flow fields using high-frequency PIV and point velocity measurements

The current practice of implementing tornadic wind actions on structures in building codes is not well established compared to atmospheric boundary layer winds. Given there is a lack of velocity measurements in actual tornados close to the surface, there is a body of research that is currently looking into physical simulations of tornado-like vortices (TLVs). Our study contributes to this field of research by looking into the aerodynamic effects a generic building exerts on TLVs that are stationary and positioned above the building. Our study also investigated the differences among two distinctively different velocity measurement techniques in TLV flows—Cobra probe and particle image velocimetry (PIV). We further examine how different TLV intensities affect the results by considering TLVs that correspond to (Enhanced Fujita) EF1- and EF2-rated tornadoes in the atmosphere. We show that the velocity fluctuations in Cobra probe records are higher than in PIV measurements despite both velocity records being sampled at 200 Hz. The discrepancy is due to the inherent spatial filtering used in PIV data processing. A larger discrepancy between the two measurement techniques was observed in the EF1 TLV. The presence of the building affected EF1 more than EF2 TLV due to the larger core diameter of the latter vortex. The diameter of the circumference of the maximum tangential velocity in EF1 and EF2 TLVs undisturbed by the building was 1.6 and 2.1 times larger than the diagonal length of the building. By comparing our results against prior research on the same TLVs, but without a building in the flow, we concluded that the building had the strongest effect in amplifying vertical velocity in the EF2 TLV. The significance of this result to wind loading and structural responses requires further wind engineering analyses. The circular symmetry of EF1 was more affected than in EF2 TLV due to its smaller size relative to the building.

Fracture Mechanics and Fatigue Analysis in Structural Engineering

Fracture Mechanics and Fatigue Analysis in Structural Engineering

Shoot-to-root communication via GmUVR8-GmSTF3 photosignaling and flavonoid biosynthesis fine-tunes soybean nodulation under UV-B light.

Legume nodulation requires light perception by plant shoots and precise long-distance communication between shoot and root. Recent studies have revealed that TGACG-motif binding factors (GmSTFs) integrate light signals to promote root nodulation; however, the regulatory mechanisms underlying nodule formation in changing light conditions remain elusive. Here, we applied genetic engineering, metabolite measurement, and transcriptional analysis to study soybean (Glycine max) nodules. We clarify a fine-tuning mechanism in response to ultraviolet B (UV-B) irradiation and rhizobia infection, involving GmUVR8-dependent UV-B perception and GmSTF3/4-GmMYB12-GmCHS-mediated (iso)flavonoid biosynthesis for soybean nodule formation. GmUVR8 receptor-perceived UV-B signal triggered R2R3-MYB transcription factors GmMYB12-dependent flavonoid biosynthesis separately in shoot and root. In shoot, UV-B-triggered flavonoid biosynthesis relied on GmUVR8a, b, c receptor-dependent activation of GmMYB12L-GmCHS8 (chalcone synthase) module. In root, UV-B signaling distinctly promotes the accumulation of the isoflavones, daidzein, and its derivative coumestrol, via GmMYB12B2-GmCHS9 module, resulting in hypernodulation. The mobile transcription factors, GmSTF3/4, bind to cis-regulatory elements in the GmMYB12L, GmMYB12B2, and GmCHS9 promoters, to coordinate UV-B light perception in shoot and (iso)flavonoid biosynthesis in root. Our findings establish a novel shoot-to-root communication module involved in soybean nodulation and reveal an adaptive strategy employed by soybean roots in response to UV-B light.

A Stochastic Load Forecasting Approach to Prevent Transformer Failures and Power Quality Issues Amid the Evolving Electrical Demands Facing Utilities

New technologies, such as electric vehicles, rooftop solar, and behind-the-meter storage, will lead to increased variation in electrical load, and the location and time of the penetration of these technologies are uncertain. Power quality, reliability, and protection issues can be the result if electric utilities do not consider the probability of load scenarios that have not yet occurred. The authors’ approach to addressing these concerns started with collecting the electrical load data for an expansive and diverse set of distribution transformers. This provided approximately two-and-a-half years of data that were used to develop new methods that will enable engineers to address emerging issues. The efficacy of the methods was then assessed with a real-world test dataset that was not used in the development of the new methods. This resulted in an approach to efficiently generate stochastic electrical load forecasts for elements of distribution circuits. Methods are also described that use those forecasts for engineering analysis that predict the likelihood of distribution transformer failures and power quality events. 100% of the transformers identified as most likely to fail either did fail or identified a data correction opportunity. The accuracy of the power quality results was 92% while allowing for a balance between measures of efficiency and customer satisfaction.

Three-Dimensional Numerical Analysis on the Influence of Buttress Wall Removal Timing on the Lateral Deformation of Diaphragm Walls during Deep Excavation

Urban areas in Taiwan are densely populated with limited land. Excavation often takes place near existing buildings, necessitating protective measures for adjacent properties. Among these measures, cross walls or buttress walls are commonly employed, especially in weak foundation soils, which have seen many successful applications. These mechanisms mainly contribute to reducing lateral deformation of the diaphragm walls, ground subsidence, and excavation face uplift. However, the behavior of these walls is essentially three-dimensional, and common engineering analyses employing one-dimensional elastoplastic beam analysis cannot adequately simulate their mechanical behavior. This study utilized the PLAXIS 3D 2018 software to analyze real-life cases of buttress walls and cross walls. Then, the results of the numerical models were validated against actual field measurements, and the outcomes were satisfactory, and within the regulatory allowable values. The primary objective of this study was to find the influence of different buttress wall removal timings on the lateral deformation of the diaphragm wall. The findings suggest that the gradual removal of buttress walls will effectively control the lateral deformation of diaphragm walls during the excavation of deeper floors like mezzanines.

Research on Performance Evaluation Index System and Assessment Methods for Microgrid Operation in the Port Area

The vertical integration of ‘Generation-Grid-Load-Storage’ in microgrids for port areas is a prevailing trend. To comprehensively and accurately assess the operational efficiency of microgrids and develop an effective means for promoting the sustainable and scalable development of microgrids in port areas, an applicable evaluation index system and comprehensive evaluation method are essential. Addressing the issues of subjectivity in quantitative evaluation decision-making for different configuration and allocation schemes in port areas and the lack of a comprehensive evaluation system for microgrids in port areas, this study aims to scientifically and reasonably evaluate and select the most optimal configuration and energy dispatching schemes for microgrids in port areas. In this paper, the performance indicators of microgrids in port areas are hierarchically structured and classified into five dimensions: economic, energy efficiency, environmental, system reliability, and safety. A comprehensive evaluation index system for microgrid systems in port areas is constructed. Furthermore, an evaluation model for microgrid operational efficiency based on improved CRITIC-TOPSIS is proposed. The coefficient of variation is introduced to measure the relative strength and relative variation of indicators among dimensions, reducing the impact of correlation between indicators and improving the accuracy and objectivity of the evaluation results. Then, the TOPSIS method is used to calculate the comprehensive evaluation values and rank the optimal microgrid schemes in port areas. Finally, the feasibility of the evaluation index system and evaluation method for the operational efficiency of microgrids in port areas is verified through case analysis. The results indicate that the evaluation method based on improved CRITIC-TOPSIS can objectively and quantitatively evaluate the operational efficiency of microgrids in different port areas. The proposed method reasonably avoids the strong subjectivity in weight calculation by traditional expert judgment during the planning phase of microgrids in port areas, providing a new and scientifically effective engineering evaluation and analysis method for the evaluation of microgrid operational efficiency in port areas.

Vibration reduction and energy harvesting of a human-seat-boat-water dynamic interaction system excited by waves

A vibration isolation means for a human-seat-boat-water dynamic interaction system subject to sea waves is proposed, for which to be numerically analyzed, the governing equations with numerical solution approaches are developed. The key idea is adopting electromagnetic isolators to replace often-used seat-damper to reduce vibrations by harvesting wave energy. The human body is modelled as a mass supported by a spring-damper connected to a seat, that through the electromagnetic isolator connected to a boat simplifying as a uniform beam-like vessel travelling in sea way. The wave force in the model is an approximate form commonly used in dynamic analysis of marine engineering, consisting of three components proportional to the relative motion of ship to the water, which adds additional mass, stiffness, and damping onto the ship. The parameters in the simulations are chosen from the practical designs or experimental/numerical reports. The simulation results reveal the effects of integrated interactions on the natural frequencies and dynamic responses of the ship subjected to short/long water waves and show very large reductions of human vibration level and effectively collecting wave energy. This confirms the proposed numerical model for ship vibration reduction and wave energy collection is attractive to simulate this complex integrated interaction system, and the proposed means based on electromagnetic isolators is no doubt to realize the aim of the paper. Some guidelines for designing this type of isolators are presented, which would be one of further develop directions for the global plan seeking/collecting green energies.

Engineering analysis and numerical study on stability evaluation of seepage slope reinforcement stability of Yunmao expressway

The landslide disaster of weathered rock slope under seepage action is very common, and the research on its reinforcement and stability is the key of engineering. In this paper, the four grades slope of Yunmao Expressway in China is taken as an example. Based on the engineering monitoring results, the stability of slope reinforcement is studied by numerical simulation. The results of engineering monitoring deformation show that the reinforcement method can effectively guarantee the stability of the slope. The numerical simulation method is used to study the stability of reinforced slope under the influence of hydraulic gradient, anchorage length, anchoring force, and anchorage failure position. The numerical study results show that hydraulic gradient has a great influence on the slip of the sliding surface, and the safety factor decreases with the increase of hydraulic gradient. The greater the anchorage length, the greater the stability of the slope. The safety factor increases with increasing anchorage length. The anchoring force increases and the slope displacement decreases, and the change range is greater than other factors. The influence of anchorage failure on the four grades is that the first-grade is greater than the third-grade, the third-grade is greater than the second-grade, and the second-grade is greater than the fourth-grade.

Study on mechanical properties of coal gangue and fly ash mixture as backfill material based on fractal characteristics.

Backfill mining can effectively alleviate the problems of surface collapse and ecological water pollution, in which the mechanical properties of backfill materials, including coal gangue and coal fly ash, have a decisive role in the effect of filling mining. In this study, we analyze the permeability characteristics of coal gangue filler through a set of homemade percolation test systems and introduce fractal characteristics to investigate the key factors affecting percolation in complex pores of broken coal gangue. The results indicate that the fractal dimensions of crushed coal gangue particles show an increasing trend with increasing axial loading and that the variation range is from 2.15647 to 2.58933. The coal fly ash concentration has a positive relationship with the acceleration factor. The permeability of crushed coal gangue follows a hierarchical distribution law and the permeability changes in the magnitude range of 10-11 ~ 10-9 m2. The fractal dimension is inversely related to the permeability of crushed coal gangue. The experimental results show that the coal gangue will be further crushed and that adding a certain concentration of coal fly ash can achieve a better water barrier, which provides theoretical support and engineering significance for the stability analysis of geological engineering and backfill mining technology.

Computer vision-based assessment of cyclist-tram track interactions for predictive modeling of crossing success

Introduction: Single Bicycle Brashes (SBCs) are common, and underreported in official statistics. In urban environments, light rail tram tracks are a frequent factor, however, they have not yet been the subject of engineering analysis. Method: This study employs video-based analysis at nine Dublin city centre locations and introduces a predictive model for crossing success on tram tracks, utilising cyclist crossing angles within a Surrogate Measure of Safety (SMoS) framework. Additionally, Convolutional Neural Networks (CNNs) were explored for automatic estimation of crossing angles. Results: Modelling results indicate that cyclist crossing angle is a strong predictor of crossing success, and that cyclist velocity is not. Findings also highlight the prevalence of external factors which limit crossing angles for cyclists. In particular, kerbs are a common factor, along with passing/approaching vehicles or other cyclists. Furthermore, results indicate that further training on a relatively small sample of 100 domain-specific examples can achieve substantial accuracy improvements for cyclist detection (from 0.31AP0.5 to 0.98AP0.5) and crossing angle inference from traffic camera footage. Conclusions: Ensuring safe crossing angles is important for cyclist safety around tram tracks. Infrastructural planners should aim for intuitive, self-explainable road layouts that allow for and encourage crossing angles of 60° or more – ideally 90°. Practical Applications: The SMoS framework and the open-source SafeCross11https://github.com/KevGildea/SafeCross/. application offer actionable insights and tools for enhancing cyclist safety around tram tracks.

Bi-layered photocrosslinkable chitosan-curcumin hydrogel/soy protein nanofibrous mat skin substitute

This study examines the efficacy of a two-layer skin replacement composed of a visible-light photocrosslinkable chitosan hydrogel, either unmodified or incorporating curcumin, and overlaid with soy protein isolate (SPI) nanofibers. In order to achieve this objective, the synthesis of methacrylated chitosan was conducted, followed by the electrospinning of a nanofibrous mat using SPI. The resulting structures were then subjected to characterization using established engineering analyses. Following the utilization of the Taguchi method in experimental design, the optimal quantities of curcumin and riboflavin as a photo-initiator, as well as the curing time, were determined. Subsequently, an optimal hydrogel based on methacrylated chitosan was prepared, and the release rates of curcumin and riboflavin were measured over a specified duration.In order to evaluate the in vivo efficacy of the formulated constructs, four distinct experimental groups were included in the study. These groups consisted of an untreated control group, a group treated with hydrogel alone, a group treated with curcumin-loaded hydrogels, and a group treated with hydrogels coated with SPI electrospun mat. The wound healing potential was assessed through the examination of different histomorphometric parameters at two time points: 10 and 20 days following the surgical procedure. Following a period of 20 days, it was observed that all three treatment groups exhibited the capacity to effectively achieve wound closure, generate a fresh epithelial layer, attract fibroblast cells to the site of injury, and impede the infiltration of inflammatory cells. The success of these outcomes varied depending on the regenerative capabilities inherent to each treatment group. Nevertheless, it has been observed that groups treated with curcumin-loaded and SPI nanofibrous mat substances exhibit noteworthy efficacy in wound healing. This can be attributed to the anti-inflammatory properties of curcumin, which aid in reducing inflammation, as well as the epidermal formation facilitated by SPI. The concurrent application of curcumin loading and SPI nanofibrous mat is anticipated to yield notable beneficial alterations in the wound healing process.

Quasi-static simulation and fatigue life estimation of fused filament fabrication of polylactic acid specimens using finite element method

The additive manufacturing (AM) technique has recently attracted more attention in rapid prototyping methods due to its unprecedented performance in engineering applications. Fused filament fabrication (FFF) is the most common technique to manufacture sophisticated engineering components by depositing the polymeric material layer by layer. Since the produced materials exhibit different mechanical behaviors, it is required to perform adequate mechanical tests and engineering analysis to attain a product with an acceptable performance under the designed loading conditions. This research deals with a series of tests to achieve the mechanical characteristics of the FFF-made samples printed in different raster orientations. Due to the high level of anisotropy achieved compared to using conventional manufacturing techniques, the effects of printing directions should be studied. In this study, the mechanical properties of FFF Polylactic acid (PLA) specimens, e.g., tensile and fatigue tests were investigated experimentally. Then, the finite element (FE) model for estimating the fatigue behavior of notched samples was developed. To do so, two specimen sets, including unidirectional and double-directional (cross) samples were prepared for experiments. Tensile test results show that in specimens with parallel loading direction and raster orientation, can sustain higher load; however, ultimate strength values in the specimens with perpendicular raster orientation to the loading direction were reduced by 18 %. Furthermore, the strain-life diagrams were obtained through the pure bending fatigue tests, for three specimen sets (unnotched, single-notched, and double-notched) fabricated with a ± 45° raster orientation. The fatigue life of the notched samples was predicted using the FE model and the Coffin-Monson equation. Comparing the experimental and predicted results shows that a good agreement exists between the experimental data and numerical results.

Ethnic cuisine ratings of consumers: a sample analysis of Konya ethnic Mevlevi kitchen dishes’

Mevlevi cuisine, which carries the traces of history in Konya in Turkey, is an ethnic type of cuisine that is identified with that region. It is known that with the opening of more restaurants in the concept of ethnic cuisine, there will be a positive interaction in the region in terms of gastronomic tourism. Purpose of the research: To evaluate the meals and drinks of ethnic cuisine by the guests who prefer ethnic restaurants, using the menu analysis method. Case study, one of the qualitative research models, was used in the research. The research sample consists of Somatçı Fihi Ma Fih restaurant, which tries to keep an ethnic culinary culture alive with the concept of Mevlevi cuisine in Turkey’s Konya province and volunteered to participate in the research. The data collection phase of the research was carried out in the light of the interview, document review and information obtained with both the manager and the chef of this restaurant, which constitutes the sample of the research. As a result of the study, a total of 14 menu items selected from the menu were subjected to menu engineering analysis. After this analysis, a total of 6 products were included in the stars group, 4 products in the problem group, 3 products in the horses group and 1 product in the puzzles group. As a result of the research, it was suggested that the Mevlevi cuisine dishes, which are not liked by the guests who prefer ethnic dishes, should be removed from the menu and replaced with the ones with stronger taste.

Relaxation-based importance sampling for structural reliability analysis

This study presents an importance sampling formulation based on adaptively relaxing parameters from the indicator function and/or the probability density function. The formulation embodies the prevalent mathematical concept of relaxing a complex problem into a sequence of progressively easier sub-problems. Due to the flexibility in constructing relaxation parameters, relaxation-based importance sampling provides a unified framework for various existing variance reduction techniques, such as subset simulation, sequential importance sampling, and annealed importance sampling. More crucially, the framework lays the foundation for creating new importance sampling strategies, tailoring to specific applications. To demonstrate this potential, two importance sampling strategies are proposed. The first strategy couples annealed importance sampling with subset simulation, focusing on low-dimensional problems. The second strategy aims to solve high-dimensional problems by leveraging spherical sampling and scaling techniques. Both methods are desirable for fragility analysis in performance-based engineering, as they can produce the entire fragility surface in a single run of the sampling algorithm. Three numerical examples, including a 1000-dimensional stochastic dynamic problem, are studied to demonstrate the proposed methods.

Characteristics of force chains in the flow of photoelastic particles under a barrier

The essence of particle flow is the microscale breaking and rebuilding of force chains. Therefore, it is essential to conduct research on force chains during the process of particle flow. This study focuses on particle flow during the ore drawing process, develops a photoelastic experimental system for physical ore drawing, studies the macroscopic change characteristics of force chains, analyzes the statistical properties of force chain intensity, length, quantity, and azimuth, and discusses the particle blockage phenomenon and its engineering application in ore drawing. The results show that the length of the strong force chains is mostly about five particles, with fewer numbers, and their direction is primarily concentrated between 60° and 120°. Weak force chains are abundant and distributed uniformly in all directions. In addition, based on the arching and blocking characteristics of particles, a novel sealing method for the ore pass is proposed. The research results deepen the understanding of granular material flow hazards and provide a valuable reference for similar engineering analyses.

The Planning & Designing of Urban Building Water Supply and Drainage Engineering in AI Era

Abstract To explore how to improve the quality of urban building water supply and drainage engineering and further promote the economic construction of urban buildings, this paper combines artificial intelligence with water supply and drainage engineering of urban buildings. A detailed analysis of water supply and drainage engineering is unfolded, and the combination of BP neural network algorithm and particle swarm algorithm is used to improve the convergence accuracy of the algorithm and network generalization ability to optimize the BP neural network algorithm and construct the artificial intelligence algorithm model. Through experiments in the artificial intelligence algorithm model, the actual output quality parameter is 82, and the difference with the desired output quality parameter of 81 is 1, while in the ordinary design, the actual output quality parameter is 70, and the difference with the desired output quality parameter is 11, get in the artificial intelligence model the desired output and the expected output close. It shows that combining artificial intelligence with urban building water supply and drainage engineering can improve the quality of the project, which is more accurate and superior to the ordinary design and reduce the project cost.