packages/engine/scram/src/fault_tree_analysis.h
Fault Tree Analysis.
Namespaces
| Name |
|---|
| scram |
| scram::mef |
| scram::core |
Classes
| Name | |
|---|---|
| struct | scram::core::Literal <br>Event or its complement that may appear in products. |
| struct | scram::core::ProductSummary <br>Summary information about generated products. |
| class | scram::core::Product <br>Collection of unique literals. |
| class | scram::core::ProductContainer <br>A container of analysis result products with Literals. |
| class | scram::core::FaultTreeAnalysis <br>Fault tree analysis functionality. |
| class | scram::core::FaultTreeAnalyzer <br>Fault tree analysis facility with specific algorithms. |
Source code
cpp
/*
* Copyright (C) 2014-2018 Olzhas Rakhimov
* Copyright (C) 2023 OpenPRA ORG Inc.
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#pragma once
#include <cstdlib>
#include <memory>
#include <optional>
#include <vector>
#include <boost/iterator/iterator_facade.hpp>
#include <boost/iterator/transform_iterator.hpp>
#include "analysis.h"
#include "pdag.h"
#include "preprocessor.h"
#include "settings.h"
#include "zbdd.h"
namespace scram::mef { // Decouple from the analysis code.
class Model; // Provider of substitutions.
class Gate;
class BasicEvent;
} // namespace scram::mef
namespace scram::core {
struct Literal {
bool complement;
const mef::BasicEvent& event;
};
struct ProductSummary {
using ProductList = std::vector<std::vector<int>>;
int product_count = 0;
int original_product_count = 0;
int pruned_products = 0;
std::vector<int> distribution;
std::vector<int> event_indices;
bool cut_off_applied = false;
double applied_cut_off = 0.0;
};
class Product {
struct LiteralExtractor {
Literal operator()(int index) const {
return {index < 0, *graph.basic_events()[std::abs(index)]};
}
const Pdag& graph;
};
public:
Product(const std::vector<int>& data, const Pdag& graph)
: data_(data), graph_(graph) {}
bool empty() const { return data_.empty(); }
int size() const { return data_.size(); }
int order() const { return empty() ? 1 : size(); }
double p() const;
auto begin() const {
return boost::make_transform_iterator(data_.begin(),
LiteralExtractor{graph_});
}
auto end() const {
return boost::make_transform_iterator(data_.end(),
LiteralExtractor{graph_});
}
private:
const std::vector<int>& data_;
const Pdag& graph_;
};
class ProductContainer {
using ProductList = ProductSummary::ProductList;
class Iterator
: public boost::iterator_facade<Iterator, Product,
boost::forward_traversal_tag,
const Product&> {
public:
Iterator();
private:
friend class ProductContainer;
friend class boost::iterator_core_access;
enum class Source { kZbdd, kFiltered };
Iterator(const Pdag& graph, Zbdd::const_iterator it);
Iterator(const Pdag& graph, std::shared_ptr<const ProductList> filtered,
ProductList::const_iterator it);
void increment();
bool equal(const Iterator& other) const;
const Product& dereference() const;
Source source_ = Source::kZbdd;
std::optional<Zbdd::const_iterator> zbdd_it_;
std::shared_ptr<const ProductList> filtered_;
ProductList::const_iterator filtered_it_;
const Pdag* graph_ = nullptr;
mutable std::optional<Product> cache_;
};
public:
ProductContainer(const Zbdd& products, const Pdag& graph,
const ProductSummary* summary = nullptr,
std::shared_ptr<const ProductList> filtered_products = nullptr) ;
const std::vector<const mef::BasicEvent*>& product_events() const {
return product_events_;
}
const Pdag& graph() const { return graph_; }
Iterator begin() const;
Iterator end() const;
bool empty() const { return size_ == 0; }
int size() const { return size_; }
const std::vector<int>& distribution() const { return distribution_; }
private:
const Zbdd& products_;
const Pdag& graph_;
int size_;
std::vector<int> distribution_;
std::vector<const mef::BasicEvent*> product_events_;
std::shared_ptr<const ProductList> filtered_products_;
};
void Print(const ProductContainer& products);
class FaultTreeAnalysis : public Analysis {
public:
FaultTreeAnalysis(const mef::Gate& root, const Settings& settings,
const mef::Model* model = nullptr);
virtual ~FaultTreeAnalysis() = default;
const mef::Gate& top_event() const { return top_event_; }
void Analyze() ;
const ProductContainer& products() const {
assert(products_ && "The analysis is not done!");
return *products_;
}
[[nodiscard]] bool has_products() const { return static_cast<bool>(products_); }
[[nodiscard]] std::shared_ptr<Pdag> pdag() { return std::move(graph_); }
[[nodiscard]] const ProductSummary* last_product_summary() const {
return last_summary_ ? &last_summary_.value() : nullptr;
}
[[nodiscard]] bool adaptive_mode_used() const { return adaptive_mode_used_; }
[[nodiscard]] double adaptive_target_probability() const { return adaptive_target_probability_; }
void initiating_event_frequency(double frequency) { initiating_event_frequency_ = frequency; }
protected:
[[nodiscard]] Pdag* graph() const { return graph_.get(); }
private:
virtual void Preprocess(Pdag* graph) = 0;
virtual const Zbdd& GenerateProducts(const Pdag* graph) = 0;
void Store(const Zbdd& products, const Pdag& graph,
const ProductSummary& summary,
std::shared_ptr<const ProductSummary::ProductList> filtered_products) ;
double GetExactProbabilityValue() const;
double ComputeAdaptiveTargetProbability() const;
const mef::Gate& top_event_;
const mef::Model* model_;
std::unique_ptr<Pdag> graph_;
std::unique_ptr<const ProductContainer> products_;
std::shared_ptr<const ProductSummary::ProductList> filtered_products_;
double initiating_event_frequency_ = 1.0;
std::optional<ProductSummary> last_summary_;
bool adaptive_mode_used_ = false;
double adaptive_target_probability_ = -1.0;
};
template <class Algorithm>
class FaultTreeAnalyzer : public FaultTreeAnalysis {
public:
using FaultTreeAnalysis::FaultTreeAnalysis;
using FaultTreeAnalysis::graph; // Provide access to other analyses.
const Algorithm* algorithm() const { return algorithm_.get(); }
Algorithm* algorithm() { return algorithm_.get(); }
private:
void Preprocess(Pdag* graph) override {
std::optional<Settings> settings_opt = std::optional<Settings>(settings());
CustomPreprocessor<Algorithm>{graph,settings_opt}();
}
const Zbdd& GenerateProducts(const Pdag* graph) override {
algorithm_ = std::make_unique<Algorithm>(graph, Analysis::settings());
algorithm_->Analyze(graph);
return algorithm_->products();
}
std::unique_ptr<Algorithm> algorithm_;
};
} // namespace scram::coreUpdated on 2026-01-09 at 21:59:13 +0000
