Wyniki wyszukiwania - BazTech

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Holistic approach to diagnostics of engineering materials

Kasperkiewicz J., Alterman D.

Computer Assisted Mechanics and Engineering Sciences

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2007

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Vol. 14, No. 2

197-207

EN

A concept is presented of a system for automatic processing of the civil engineering data. It may concern designing, optimisation or diagnostics of constructional materials. The main point of interest was concrete and various concrete like composite materials. The applied methods are a combination of various soft computing techniques, like artificial neural networks, machine learning and certain techniques originating in statistics. The system is aimed at taking advantage of varied information available in publications, reports, monographs and direct experimental results, perhaps including even the grey information resources. After preparation of a database collected from laboratory or in-situ observations concerning the behaviour of various concrete materials, and gathered during the two last decades, a number of experiments were performed on the system dedicated mainly to prediction of compressive strength and frost resistance of concrete. The proposed approach allows more efficient control of information in problems of concrete technology.

2

Evaluating concrete materials by application of automatic reasoning

Alterman D., Kasperkiewicz J.

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2006

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Vol. 54, nr 4

353-361

EN

There were two aims of the research. One was to enable more or less automatic confirmation of the known associations - either quantitative or qualitative - between technological data and selected properties of concrete materials. Even more important is the second aim - demonstration of expected possibility of automatic identification of new such relation-ships, not yet recognized by civil engineers. The relationships are to be obtained by methods of Artificial lntelligence, (Al), and are to be based on actual results from experiments on concrete materials. The reason of applying the Al tools is that in Civil Engi-neering the real data are typically non perfect, complex, fuzzy, often with missing details, which means that their analysis in a traditional way, by building empirical models, is hardly possible or at least can not be done quickly. The main idea of the proposed approach was to combine application of different Al methods in a one system, aimed at es-timation, prediction, design and/or optimization of composite materials. The paradigm of the approach is that the unknown rules concerning the properties of concrete are hidden in experimental results and can be obtained from the analysis of examples. Different Al techniques like artificial neural networks, machine learning and certain techniques related to statistics were applied. The data for the analysis originated from direct observations and from reports and publications on concrete technology. Among others it has been demonstrated that by combining different Al methods it is possible to improve the quality of the data, (e.g. when encountering outliers and missing values or in clustering problems), so that the whole data processing system will be giving better prediction, (when applying ANNs), or the newly discovered rules will be more effective, (e.g. with descriptions more complete and - at the same time - possibly more consistent, in case of ML algorithms).

3

Metody sztucznej inteligencji w przewidywaniu cech betonu na podstawie analizy struktury

Alterman D.

Zeszyty Naukowe. Budownictwo / Politechnika Śląska

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2002

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z. 95

35-44

PL

Referat poświęcony jest możliwościom automatycznego przewidywania cech betonu na podstawie charakterystyk jego struktury. Techniki Sztucznej Inteligencji (SI) zastosowano w celu odkrycia wiedzy zawartej w wynikach przeprowadzonych badań. Dwie nowe techniki SI wykorzystano w analizie wytrzymałości na ściskanie oraz mrozoodporności betonu.

EN

The paper is dedicated to possibilities of predicting properties of concrete from its structural characteristics. Selected techniques of Artificial Intelligence (AI) were applied to extract knowledge hidden in tests results. Two new AI techniques were used successfully in analysis of strength and frost resistance features of concrete.

4

Projekt koncepcyjny mostu zamkowego przez rzekę Wisłok w Rzeszowie z wykorzystaniem komputerowego systemu CAD

Alterman D.

Drogi i Mosty

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2002

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nr 1

7-24

PL

W pracy przedstawiony został projekt mostu podwieszonego przez rzekę Wisłok w Rzeszowie. Praca obejmuje różne aspekty projektowanego mostu: estetyczny, architektoniczny, budowlany, technologiczny. Przy projektowaniu wspomaganym komputerowo użyto system CAD, wykorzystując rzeczywiste dane otrzymane i zatwierdzone przez Biuro Rozwoju Miasta Rzeszowa.

EN

In the paper design concept of the cable - stayed bridge over Wislok River in Rzeszów is presented. The research covered various aspects of the bridge design: its aesthetics and architecture in the historical part of the town, structure and safety, technology of execution overall cost, etc. A computer design system was applied. The research was based on local data and the final design was submitted to the Urban Development Office.