Aims and Scope

The Open Civil Engineering Journal is an Open Access journal which publishes research, reviews/mini-reviews, letter articles and guest edited single topic issues in all areas of civil engineering.

The Open Civil Engineering Journal, a peer-reviewed journal, is an important and reliable source of current information on developments in civil engineering. The topics covered in the journal include (but not limited to) planning, design, construction, and maintenance of concrete structures and construction materials. Other areas includes structural mechanics, soil mechanics, foundation engineering, offshore geotechnics, water resources, its use and control, hydraulics, horology, coastal engineering, river engineering, transportation engineering, municipal engineering, ocean modeling, fluid-solid-structure interactions, offshore engineering, earthquake engineering, marine structures, constructional management, IoT applied to continuous monitoring and SHM, extreme events analysis, Machine learning routines, Digital Twins and BIM for maintenance and repair and other civil engineering relevant areas.

Recent Articles

Editor's Choice

Application of a Genetic Algorithm for the Optimal Calibration of Hysteretic Models

Sabatino Di Benedetto, Massimo Latour, Gianvittorio Rizzano


Recent computing improvements have allowed a considerable use of numerical models to predict phenomena concerning various topics. In particular, considering the field of civil engineering, the possibility of having greater computational capabilities has guaranteed to explore both the global and local behaviour of buildings with greater attention and precision so that currently, many software programs allow modelling different structural components with high accuracy.


One of the aspects of interest concerns the calibration of phenomenological laws to model the mechanical behaviour of specific structural members, devices or connections. With this in mind, many efforts have recently been dedicated to solving this problem by implementing computational codes called “Genetic Algorithms”, which provide optimal configurations of parameters following procedures that emulate Darwin’s theory of evolution. However, generally, these algorithms are encoded in C++ formats, which are difficult to be modified basing on the needs of the users.

With this in mind, the present work's novelty consists of implementing a Genetic Algorithm that, starting from the knowledge of assigned hysteretic curves, allows their modelling through an appropriate calibration of the parameters of the “hysteretic” uniaxialmaterial element of the OpenSees software. In particular, the originality of the code proposed in this paper is its development in the Matlab environment, which is more easily editable and more flexible to customers' specific needs than traditional C++ compilers, such as MultiCal, a calibration software already available in research.


Genetic Algorithms are instructions through which it is possible to reach the optimal calibration of mathematical models according to a procedure that conceptually refers to the evolutionary process of living species.


The proposed GA has been validated against MultiCal tool by calibrating 44 force-displacement hysteretic curves obtained from finite element simulations relating to the cyclic behaviour of connections between circular hollow section profiles and passing-through plates subjected to displacement histories in the axial direction.


The results have shown that the proposed algorithm calibrates the known responses with acceptable accuracy, in line with or even better than the outcomes provided by MultiCal.

January 17, 2023

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