scholarly journals Large Scale Destructive Testing In An Undergraduate Structural Engineering Curriculum

2020 ◽  
Author(s):  
Richard DeVries ◽  
Douglas Stahl
Keyword(s):  
Structural Engineering ◽  
Large Scale ◽  
Engineering Curriculum ◽  
Destructive Testing

Studying form – Innovation in Structural Engineering Education

2002 ◽  
Vol 17 (2-3) ◽  
pp. 235-242 ◽  
Author(s):  
Wanda Lewis ◽  
John C. Chilton
Keyword(s):  
Engineering Education ◽  
Structural Engineering ◽  
Computer Modelling ◽  
Physical Modelling ◽  
Qualitative Assessment ◽  
Space Structures ◽  
Engineering Curriculum ◽  
Form Finding ◽  
Student Work ◽  
And Performance

This paper summarises the authors' experience in the design and implementation of an innovative course in structural engineering education. A course on structural form and behaviour of “non-conventional” or space structures, which primarily focuses on form-finding through physical modelling, is described, although, where appropriate, computer modelling is also encouraged. Several case studies of student work are presented and the insights acquired by the students are discussed. It is concluded that the design of space structures, based on qualitative assessment of their functionality and performance, should be given more prominence within the civil and structural engineering curriculum.

Non-destructive testing of aerospace composite materials using digital shearography

1998 ◽  
Vol 212 (1) ◽  
pp. 21-30 ◽  
Author(s):  
W Steinchen ◽  
L Yang ◽  
G Kupfer ◽  
P Mäckel
Keyword(s):  
Large Scale ◽  
Laser Interferometry ◽  
Honeycomb Structure ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Measuring Device ◽  
Large Scale Structures ◽  
Reinforced Plastics ◽  
Digital Imaging Processing ◽  
Non Destructive

Digital shearography, a laser interferometry technique in conjunction with the digital imaging processing, has the potential for identifying defects both in small- and large-scale structures. This paper will focus on the recent development of digital shearography for non-destructive testing (NDT). With the improvement of the measuring methods and the development of a small and mobile measuring device in conjunction with a user-guided program, Shearwin, this laser inspection technique can be used easily in the environment of fieldwork. A few examples show its application in the aerospace industry for NDT of composites, e.g. GLARE panel, honeycomb structure and glass (or carbon)-fibre-reinforced plastics, etc.

Techniques of Non-Destructive Testing of Steel Fiber Reinforced Concrete

2017 ◽  
Vol 755 ◽  
pp. 153-158 ◽  
Author(s):  
Eva Zezulová ◽  
Tereza Komárková
Keyword(s):  
Reinforced Concrete ◽  
Large Scale ◽  
Steel Fiber ◽  
Fiber Reinforced Concrete ◽  
Non Destructive Testing ◽  
Fiber Reinforced ◽  
Steel Fiber Reinforced Concrete ◽  
Destructive Testing ◽  
Measurement Devices ◽  
Non Destructive

Non-destructive testing (NDT) is seeing increasingly frequent use in civil engineering thanks to the fact that the tests are repeatable and do not cause serious damage to the material. The requirements for the development and modernization of available testing devices and methodologies are ever increasing and the testing of existing structures often requires the use of NDT. Unfortunately, every measurement and methodology has its limits and the measurement devices for the evaluation of steel fiber reinforced concrete (SFRC) are no exception. In recent decades there has been an effort to modernize and develop existing measurement devices for SFRC testing. This building material is commonly used especially in large-scale structures. Nevertheless, the technology of SFRC could seem complicated when compared with ordinary concrete and the very nature of this composite material could lead to SFRC inhomogeneity during construction. This paper describes the assessment of SFRC by more or less available methodologies and measurements utilizing non-destructive principles.

scholarly journals Terrestrial Laser Scanner as a Tool for Assessment of Saturation and Moisture Movement in Building Materials

2018 ◽  
Author(s):  
Czesław Suchocki ◽  
Jacek Katzer ◽  
Jacek Rapiński
Keyword(s):  
Structural Engineering ◽  
Building Materials ◽  
Laser Scanner ◽  
Research Programme ◽  
Terrestrial Laser Scanner ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Moisture Movement ◽  
Existing Structures ◽  
Non Destructive

Non Destructive Testing (NDT) is a key element of modern civil engineering. It is especially important in civil and structural engineering helping both in quality control of produced elements and technical assessments of existing structures. Existing NDT methods are being continuously improved and new methods are developed or adopted from different engineering fields. Terrestrial Laser Scanner (TLS) method which is commonly used for geodetic applications has a great potential to be successfully harnessed in civil and structural engineering. TLS can be used for remote sensing of saturation of building materials. A research programme was prepared in order to prove this concept. Specimens representing most popular European building materials were scanned using TLS. Tested specimens were in different saturation states including capillary rising saturation. The saturation assessment was based on differences of values of intensity. The concept proved to be feasible and technically realistic.

scholarly journals An advanced hybrid meta-heuristic algorithm for solving small- and large-scale engineering design optimization problems

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Pooja Verma ◽  
Raghav Prasad Parouha
Keyword(s):  
Design Optimization ◽  
Engineering Design ◽  
Structural Engineering ◽  
Large Scale ◽  
Optimization Problems ◽  
Novel Mutation ◽  
Solution Space ◽  
Selection Strategy ◽  
Engineering Design Optimization ◽  
Global And Local

AbstractAn advanced hybrid algorithm (haDEPSO) is proposed in this paper for small- and large-scale engineering design optimization problems. Suggested advanced, differential evolution (aDE) and particle swarm optimization (aPSO) integrated with proposed haDEPSO. In aDE a novel, mutation, crossover and selection strategy is introduced, to avoid premature convergence. And aPSO consists of novel gradually varying parameters, to escape stagnation. So, convergence characteristic of aDE and aPSO provides different approximation to the solution space. Thus, haDEPSO achieve better solutions due to integrating merits of aDE and aPSO. Also in haDEPSO individual population is merged with other in a pre-defined manner, to balance between global and local search capability. The performance of proposed haDEPSO and its component aDE and aPSO are validated on 23 unconstrained benchmark functions, then solved five small (structural engineering) and one large (economic load dispatch)-scale engineering design optimization problems. Outcome analyses confirm superiority of proposed algorithms over many state-of-the-art algorithms.

scholarly journals An Experimental Research on Prognosis of Compressive Strength of Concrete by using Sensor

2020 ◽  
Vol 9 (4) ◽  
pp. 1310-1313
Keyword(s):  
Large Scale ◽  
Concrete Specimen ◽  
Health Condition ◽  
Temperature Data ◽  
Index Formula ◽  
Destructive Testing ◽  
Concrete Element ◽  
Cloud Server ◽  
Temperature Time

now a days there are many methods available to monitor the health condition of the structures. The need of monitoring of health of structures also serves as important factor because of lower quality of materials availability now a days. In this project the temperature sensor is embedded inside the concrete specimen to monitor the variation in temperature of the concrete due to process of hydration. Temperature is one of the major factor that determines the compression strength of concrete structures. The maturity in the temperature data can be monitored by applying this concept in real time application in field. The Internet of Things (IOT) technique is used to send and store the temperature data in the cloud server. With help of the data that stored in the cloud server maturity index formula is used to calculate the temperature time factor with help of which the strength of the structure is indirectly correlated and can be found. In case of the large scale projects there are various methods being adopted to find the strength attained in the concrete element in site such that by doing the cube destructive testing, this concept can also been adopted to ensure the strength attainment in concrete. Hence more than one method was been adopted to ensure the strength which allows the engineers to take the decision without any confusion

Data augmentation by CycleGAN-based extra-supervised for non-destructive testing

2021 ◽  
Author(s):  
Jiangshan Ai ◽  
Lulu Tian ◽  
Libing Bai ◽  
Jie Zhang
Keyword(s):  
High Performance ◽  
Field Data ◽  
Large Scale ◽  
Data Augmentation ◽  
Learning Method ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Deep Convolutional Neural Networks ◽  
X Ray ◽  
Non Destructive

Abstract Deep learning method is widely used in computer vision tasks with large scale annotated datasets. However, it is a big challenge to obtain such datasets in most directions of the vision based non-destructive testing (NDT) field. Data augmentation is proved as an efficient way in dealing with the lack of large-scale annotated datasets. In this paper, we propose CycleGAN-based extra-supervised (CycleGAN-ES) to generate synthetic NDT images, where the ES is used to ensure that the bidirectional mapping are learned for corresponding label and defect. Furthermore, we show the effectiveness of using the synthesized images to train deep convolutional neural networks (DCNN) for defects recognition. In the experiments, we extract numbers of X-ray welding images with both defect and no-defect from the published GDXray dataset, CycleGAN-ES are used to generate the synthetic defect images based on a small number of extracted defect images and manually drawn labels which are used as a content guide. For quality verification of the synthesized defect images, we use a high-performance classifier pre-trained using big dataset to recognize the synthetic defects and show comparability of the performances of classifiers trained using synthetic defects and real defects respectively. To present the effectiveness of using the synthesized defects as an augmentation method, we train and evaluate the performances of DCNN for defects recognition with or without the synthesized defects.

scholarly journals Sustainable Design and Engineering: A Relationship Analysis between Digital Destructive and Non-Destructive Testing Process for Lightweight Concrete

Processes ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 791 ◽  
Author(s):  
Muhammad Ahmed Qurashi ◽  
Syyed Adnan Raheel Shah ◽  
Muhammad Farhan ◽  
Muhammad Taufiq ◽  
Waleed Khalid ◽  
...  
Keyword(s):  
Large Scale ◽  
Lightweight Concrete ◽  
Expanded Polystyrene ◽  
Test Machine ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Lightweight Materials ◽  
Coarse Aggregates ◽  
Relationship Analysis ◽  
Non Destructive

The development of sustainable lightweight materials is a promising field solution in this era. The production of sustainable materials by replacing coarse aggregates with some lightweight alternative provides a good quality construction material. In this study, rocky coarse aggregates were replaced by an ultra-lightweight material (i.e., expanded polystyrene beads) to produce an equivalent rock-solid mass of concrete. Using an M15 grade of concrete composition, expanded polystyrene (EPS) beads were added in place of aggregates in amounts ranging from 5% to 40% at a water–cement (w/c) ratio of 0.60. The specimen size as per American Society for Testing and Materials (ASTM) specification was 150 mm in diameter and 300 mm in length. Furthermore, statistical analysis for the relationship study for destructive testing (DT) (i.e., compressive test machine) and non-destructive testing (NDT) (i.e., rebound hammer and ultrasonic pulse velocity (UPV)) has been performed at developed specimens under 7- and 28-day curing conditions. In the end, the results showed that NDT predicts higher compressive strength than that of DT with the addition of EPS beads up to 20% aggregate replacement, after that it is vice versa for up to 40% aggregate replacement. This study will not only help in the production of sustainable lightweight materials, but especially concrete block production can also be performed at a large scale as a sustainable engineering solution.

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